- AbstractAgent - Class in aima.core.agent.impl
-
- AbstractAgent() - Constructor for class aima.core.agent.impl.AbstractAgent
-
- AbstractAgent(AgentProgram) - Constructor for class aima.core.agent.impl.AbstractAgent
-
Constructs an Agent with the specified AgentProgram.
- AbstractContinuousDomain - Class in aima.core.probability.domain
-
- AbstractContinuousDomain() - Constructor for class aima.core.probability.domain.AbstractContinuousDomain
-
- AbstractDerivedProposition - Class in aima.core.probability.proposition
-
- AbstractDerivedProposition(String) - Constructor for class aima.core.probability.proposition.AbstractDerivedProposition
-
- AbstractDiscreteDomain - Class in aima.core.probability.domain
-
- AbstractDiscreteDomain() - Constructor for class aima.core.probability.domain.AbstractDiscreteDomain
-
- AbstractEnvironment - Class in aima.core.agent.impl
-
- AbstractEnvironment() - Constructor for class aima.core.agent.impl.AbstractEnvironment
-
- AbstractFiniteDomain - Class in aima.core.probability.domain
-
- AbstractFiniteDomain() - Constructor for class aima.core.probability.domain.AbstractFiniteDomain
-
- AbstractFOLVisitor - Class in aima.core.logic.fol.parsing
-
- AbstractFOLVisitor() - Constructor for class aima.core.logic.fol.parsing.AbstractFOLVisitor
-
- AbstractModulation - Class in aima.core.logic.fol.inference
-
Abstract base class for Demodulation and Paramodulation algorithms.
- AbstractModulation() - Constructor for class aima.core.logic.fol.inference.AbstractModulation
-
- AbstractModulation.IdentifyCandidateMatchingTerm - Class in aima.core.logic.fol.inference
-
- AbstractModulation.ReplaceMatchingTerm - Class in aima.core.logic.fol.inference
-
- AbstractNode - Class in aima.core.probability.bayes.impl
-
Abstract base implementation of the Node interface.
- AbstractNode(RandomVariable) - Constructor for class aima.core.probability.bayes.impl.AbstractNode
-
- AbstractNode(RandomVariable, Node...) - Constructor for class aima.core.probability.bayes.impl.AbstractNode
-
- AbstractPLVisitor<A> - Class in aima.core.logic.propositional.parsing
-
Abstract implementation of the PLVisitor interface that provides default
behavior for each of the methods.
- AbstractPLVisitor() - Constructor for class aima.core.logic.propositional.parsing.AbstractPLVisitor
-
- AbstractProofStep - Class in aima.core.logic.fol.inference.proof
-
- AbstractProofStep() - Constructor for class aima.core.logic.fol.inference.proof.AbstractProofStep
-
- AbstractProposition - Class in aima.core.probability.proposition
-
- AbstractProposition() - Constructor for class aima.core.probability.proposition.AbstractProposition
-
- AbstractRangeReading - Class in aima.core.robotics.impl.datatypes
-
This class implements a single linear reading of a range.
In addition to the range it stores an
Angle by which the heading was rotated for the measurement of the range.
- AbstractRangeReading(double) - Constructor for class aima.core.robotics.impl.datatypes.AbstractRangeReading
-
Constructor for a range reading with an angle assumed to be zero.
- AbstractRangeReading(double, Angle) - Constructor for class aima.core.robotics.impl.datatypes.AbstractRangeReading
-
- AbstractTermProposition - Class in aima.core.probability.proposition
-
- AbstractTermProposition(RandomVariable) - Constructor for class aima.core.probability.proposition.AbstractTermProposition
-
- AC3Strategy - Class in aima.core.search.csp
-
Artificial Intelligence A Modern Approach (3rd Ed.): Figure 6.3, Page 209.
- AC3Strategy() - Constructor for class aima.core.search.csp.AC3Strategy
-
- accept(FOLVisitor, Object) - Method in class aima.core.logic.fol.parsing.ast.ConnectedSentence
-
- accept(FOLVisitor, Object) - Method in class aima.core.logic.fol.parsing.ast.Constant
-
- accept(FOLVisitor, Object) - Method in interface aima.core.logic.fol.parsing.ast.FOLNode
-
- accept(FOLVisitor, Object) - Method in class aima.core.logic.fol.parsing.ast.Function
-
- accept(FOLVisitor, Object) - Method in class aima.core.logic.fol.parsing.ast.NotSentence
-
- accept(FOLVisitor, Object) - Method in class aima.core.logic.fol.parsing.ast.Predicate
-
- accept(FOLVisitor, Object) - Method in class aima.core.logic.fol.parsing.ast.QuantifiedSentence
-
- accept(FOLVisitor, Object) - Method in class aima.core.logic.fol.parsing.ast.TermEquality
-
- accept(FOLVisitor, Object) - Method in class aima.core.logic.fol.parsing.ast.Variable
-
- accept(PLVisitor<A, R>, A) - Method in class aima.core.logic.propositional.parsing.ast.Sentence
-
Allow a PLVisitor to walk over the abstract syntax tree represented by this
Sentence.
- acceptNewBiasUpdate(Vector) - Method in class aima.core.learning.neural.Layer
-
- acceptNewWeightUpdate(Matrix) - Method in class aima.core.learning.neural.Layer
-
- Action - Interface in aima.core.agent
-
Describes an Action that can or has been taken by an Agent via one of its
Actuators.
- action(S) - Method in class aima.core.probability.mdp.impl.LookupPolicy
-
- action(S) - Method in interface aima.core.probability.mdp.Policy
-
π(s) is the action recommended by the policy π for state s.
- ACTION_FORWARD - Static variable in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- ACTION_MOVE_LEFT - Static variable in class aima.core.environment.vacuum.VacuumEnvironment
-
- ACTION_MOVE_RIGHT - Static variable in class aima.core.environment.vacuum.VacuumEnvironment
-
- ACTION_SHOOT - Static variable in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- ACTION_SUCK - Static variable in class aima.core.environment.vacuum.VacuumEnvironment
-
- ACTION_TURN_LEFT - Static variable in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- ACTION_TURN_RIGHT - Static variable in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- actionList - Variable in class aima.core.search.framework.SearchAgent
-
- actions() - Static method in enum aima.core.environment.cellworld.CellWorldAction
-
- actions(Object) - Method in class aima.core.environment.vacuum.VacuumWorldActions
-
Returns possible actions given this state
- actions(S) - Method in interface aima.core.probability.mdp.ActionsFunction
-
Get the set of actions for state s.
- actions(S) - Method in class aima.core.probability.mdp.impl.MDP
-
- actions(S) - Method in interface aima.core.probability.mdp.MarkovDecisionProcess
-
Get the set of actions for state s.
- actions(Object) - Method in interface aima.core.search.framework.problem.ActionsFunction
-
Given a particular state s, returns the set of actions that can be
executed in s.
- ActionsFunction<S,A extends Action> - Interface in aima.core.probability.mdp
-
An interface for MDP action functions.
- ActionsFunction - Interface in aima.core.search.framework.problem
-
Artificial Intelligence A Modern Approach (3rd Edition): page 67.
Given a particular state s, ACTIONS(s) returns the set of actions that can be
executed in s.
- actionsFunction - Variable in class aima.core.search.framework.problem.Problem
-
- actionsFunction - Variable in class aima.core.search.nondeterministic.NondeterministicProblem
-
- actionsFunction - Variable in class aima.core.search.online.OnlineSearchProblem
-
- ActionValuePair<ACTION> - Class in aima.core.environment.connectfour
-
Helper class for action ordering.
- ActionValuePair(ACTION, double) - Constructor for class aima.core.environment.connectfour.ActionValuePair
-
- activation(double) - Method in interface aima.core.learning.neural.ActivationFunction
-
- activation(double) - Method in class aima.core.learning.neural.HardLimitActivationFunction
-
- activation(double) - Method in class aima.core.learning.neural.LogSigActivationFunction
-
- activation(double) - Method in class aima.core.learning.neural.PureLinearActivationFunction
-
- ActivationFunction - Interface in aima.core.learning.neural
-
- AdaBoostLearner - Class in aima.core.learning.learners
-
- AdaBoostLearner(List<Learner>, DataSet) - Constructor for class aima.core.learning.learners.AdaBoostLearner
-
- add(Example) - Method in class aima.core.learning.framework.DataSet
-
- add(DLTest, String) - Method in class aima.core.learning.inductive.DecisionList
-
- add(String, String) - Method in class aima.core.learning.inductive.DLTest
-
- add(Vector2D) - Method in class aima.core.util.math.geom.shapes.Point2D
-
Adds a vector onto a point.
This moves the point by vector.getX() in X direction and vector.getY() in Y direction.
- add(Vector2D) - Method in class aima.core.util.math.geom.shapes.Vector2D
-
Adds a vector onto this vector.
- addAgent(Agent) - Method in interface aima.core.agent.Environment
-
Add an agent to the Environment.
- addAgent(Agent) - Method in class aima.core.agent.impl.AbstractEnvironment
-
- addAgent(Agent, String) - Method in class aima.core.environment.map.MapEnvironment
-
- addAgent(Agent) - Method in class aima.core.environment.vacuum.VacuumEnvironment
-
- addAgent(Agent, String) - Method in class aima.core.environment.vacuum.VacuumEnvironment
-
- addAngle(V) - Method in interface aima.core.robotics.datatypes.IMclPose
-
Rotates a pose by a given
IMclVector.
This function should return a new object to prevent unpredictable behavior through more than one usage of the same pose.
- addAnswerLiteral() - Method in class aima.core.logic.fol.domain.FOLDomain
-
- addBidirectionalLink(String, String, Double) - Method in class aima.core.environment.map.ExtendableMap
-
Adds a connection which can be traveled in both direction.
- addChild(Node) - Method in class aima.core.probability.bayes.impl.AbstractNode
-
- addConstant(String) - Method in class aima.core.logic.fol.domain.FOLDomain
-
- addConstraint(Constraint) - Method in class aima.core.search.csp.CSP
-
- addCSPStateListener(CSPStateListener) - Method in class aima.core.search.csp.SolutionStrategy
-
Adds a CSP state listener to the solution strategy.
- addedClauseToSOS(Clause) - Method in class aima.core.logic.fol.inference.otter.defaultimpl.DefaultLightestClauseHeuristic
-
- addedClauseToSOS(Clause) - Method in interface aima.core.logic.fol.inference.otter.LightestClauseHeuristic
-
- addEntry(String, String, float) - Method in class aima.core.nlp.parsing.Lexicon
-
- addEnvironmentObject(EnvironmentObject) - Method in interface aima.core.agent.Environment
-
Add an EnvironmentObject to the Environment.
- addEnvironmentObject(EnvironmentObject) - Method in class aima.core.agent.impl.AbstractEnvironment
-
- addEnvironmentView(EnvironmentView) - Method in interface aima.core.agent.Environment
-
Add a view on the Environment.
- addEnvironmentView(EnvironmentView) - Method in class aima.core.agent.impl.AbstractEnvironment
-
- addFOLDomainListener(FOLDomainListener) - Method in class aima.core.logic.fol.domain.FOLDomain
-
- addFunction(String) - Method in class aima.core.logic.fol.domain.FOLDomain
-
- addLeaf(String, String) - Method in class aima.core.learning.inductive.ConstantDecisonTree
-
- addLeaf(String, String) - Method in class aima.core.learning.inductive.DecisionTree
-
- addLexWords(String...) - Method in class aima.core.nlp.parsing.Lexicon
-
- addLexWords(Lexicon) - Method in class aima.core.nlp.parsing.Lexicon
-
Add words to an lexicon from an existing lexicon.
- addLiteral(Literal) - Method in class aima.core.logic.fol.kb.data.Chain
-
- addLiteral(Literal) - Method in class aima.core.logic.fol.kb.data.Clause
-
- addNegativeLiteral(AtomicSentence) - Method in class aima.core.logic.fol.kb.data.Clause
-
- addNode(String, DecisionTree) - Method in class aima.core.learning.inductive.ConstantDecisonTree
-
- addNode(String, DecisionTree) - Method in class aima.core.learning.inductive.DecisionTree
-
- addNodeListener(NodeExpander.NodeListener) - Method in class aima.core.search.framework.NodeExpander
-
Adds a listener to the list of node listeners.
- addObjectToLocation(EnvironmentObject, XYLocation) - Method in class aima.core.environment.xyenv.XYEnvironment
-
- addPositiveLiteral(AtomicSentence) - Method in class aima.core.logic.fol.kb.data.Clause
-
- addPredicate(String) - Method in class aima.core.logic.fol.domain.FOLDomain
-
- addProgressTracer(GeneticAlgorithm.ProgressTracer<A>) - Method in class aima.core.search.local.GeneticAlgorithm
-
Progress tracers can be used to display progress information.
- addQueenAt(XYLocation) - Method in class aima.core.environment.nqueens.NQueensBoard
-
Column and row indices start with 0!
- addRule(Rule) - Method in interface aima.core.nlp.parsing.grammars.ProbabilisticGrammar
-
- addRule(Rule) - Method in class aima.core.nlp.parsing.grammars.ProbCNFGrammar
-
Add a rule to the grammar's rule list if it passes
both the restrictions of the Context-free grammar, and the rule is
in Chomsky Normal Form.
- addRule(Rule) - Method in class aima.core.nlp.parsing.grammars.ProbContextFreeGrammar
-
Add a rule to the grammar's rule list if it passes
both the restrictions of the parent grammars (unrestricted and context-sens)
and this grammar's restrictions.
- addRule(Rule) - Method in class aima.core.nlp.parsing.grammars.ProbContextSensitiveGrammar
-
Add a rule to the grammar's rule list if it passes
both the restrictions of the parent grammar (unrestricted) and
this grammar's restrictions.
- addRule(Rule) - Method in class aima.core.nlp.parsing.grammars.ProbUnrestrictedGrammar
-
Add a single rule the grammar, testing it for structural
and probability validity.
- addRules(List<Rule>) - Method in interface aima.core.nlp.parsing.grammars.ProbabilisticGrammar
-
- addRules(List<Rule>) - Method in class aima.core.nlp.parsing.grammars.ProbCNFGrammar
-
Add a ruleList as the grammar's rule list if all rules in it pass
both the restrictions of the Context-free grammar, and all rules
or in Chomsky-Normal-Form
- addRules(List<Rule>) - Method in class aima.core.nlp.parsing.grammars.ProbContextFreeGrammar
-
Add a ruleList as the grammar's rule list if all rules in it pass
both the restrictions of the parent grammars (unrestricted and context-sens)
and this grammar's restrictions.
- addRules(ArrayList<Rule>) - Method in class aima.core.nlp.parsing.grammars.ProbContextSensitiveGrammar
-
Add a ruleList as the grammar's rule list if all rules in it pass
both the restrictions of the parent grammar (unrestricted) and
this grammar's restrictions.
- addRules(List<Rule>) - Method in class aima.core.nlp.parsing.grammars.ProbUnrestrictedGrammar
-
Add a number of rules at once, testing each in turn
for validity, and then testing the batch for probability validity.
- addScope(RandomVariable) - Method in class aima.core.probability.proposition.AbstractProposition
-
- addScope(Collection<RandomVariable>) - Method in class aima.core.probability.proposition.AbstractProposition
-
- addSkolemConstant() - Method in class aima.core.logic.fol.domain.FOLDomain
-
- addSkolemFunction() - Method in class aima.core.logic.fol.domain.FOLDomain
-
- addToFrontier(Node) - Method in class aima.core.search.framework.qsearch.BidirectionalSearch
-
Inserts the node at the tail of the frontier if the corresponding state
is not yet explored.
- addToFrontier(Node) - Method in class aima.core.search.framework.qsearch.GraphSearch
-
Inserts the node at the tail of the frontier if the corresponding state
was not yet explored.
- addToFrontier(Node) - Method in class aima.core.search.framework.qsearch.GraphSearchBFS
-
Inserts the node at the tail of the frontier if the corresponding state
is not already a frontier state and was not yet explored.
- addToFrontier(Node) - Method in class aima.core.search.framework.qsearch.GraphSearchReducedFrontier
-
Inserts the node into the frontier if the node's state is not yet
explored and not present in the frontier.
- addToFrontier(Node) - Method in class aima.core.search.framework.qsearch.QueueSearch
-
Primitive operation which inserts the node at the tail of the frontier.
- addToFrontier(Node) - Method in class aima.core.search.framework.qsearch.TreeSearch
-
Inserts the node at the tail of the frontier.
- addUnboundScope(RandomVariable) - Method in class aima.core.probability.proposition.AbstractProposition
-
- addUnboundScope(Collection<RandomVariable>) - Method in class aima.core.probability.proposition.AbstractProposition
-
- addUnidirectionalLink(String, String, Double) - Method in class aima.core.environment.map.ExtendableMap
-
Adds a one-way connection to the map.
- addVariable(Variable) - Method in class aima.core.search.csp.CSP
-
- addVertex(VertexLabelType) - Method in class aima.core.util.datastructure.LabeledGraph
-
Adds a new vertex to the graph if it is not already present.
- ADELAIDE - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfAustralia
-
- AdversarialSearch<STATE,ACTION> - Interface in aima.core.search.adversarial
-
Variant of the search interface.
- Agent - Interface in aima.core.agent
-
Artificial Intelligence A Modern Approach (3rd Edition): Figure 2.1, page 35.
Figure 2.1 Agents interact with environments through sensors and actuators.
- AGENT_LOCATION - Static variable in class aima.core.environment.map.DynAttributeNames
-
Name of a dynamic attribute, which contains the current location of the
agent.
- agentActed(Agent, Action, Environment) - Method in interface aima.core.agent.EnvironmentView
-
Indicates the Environment has changed as a result of an Agent's action.
- agentActed(Agent, Action, Environment) - Method in class aima.core.agent.impl.SimpleEnvironmentView
-
- agentActed(Agent, Action, Environment) - Method in class aima.core.environment.vacuum.VacuumEnvironmentViewActionTracker
-
- agentAdded(Agent, Environment) - Method in interface aima.core.agent.EnvironmentView
-
Indicates an Agent has been added to the environment and what it
perceives initially.
- agentAdded(Agent, Environment) - Method in class aima.core.agent.impl.SimpleEnvironmentView
-
- agentAdded(Agent, Environment) - Method in class aima.core.environment.vacuum.VacuumEnvironmentViewActionTracker
-
- AgentPercept - Class in aima.core.environment.wumpusworld
-
Artificial Intelligence A Modern Approach (3rd Edition): page 237.
The agent has five sensors, each of which gives a single bit of information:
In the square containing the wumpus and in the directly (not diagonally)
adjacent squares, the agent will perceive a Stench.
In the squares directly adjacent to a pit, the agent will perceive a
Breeze.
In the square where the gold is, the agent will perceive a Glitter.
When an agent walks into a wall, it will perceive a Bump.
When the wumpus is killed, it emits a woeful Scream that can be perceived
anywhere in the cave.
- AgentPercept() - Constructor for class aima.core.environment.wumpusworld.AgentPercept
-
Default Constructor.
- AgentPercept(boolean, boolean, boolean, boolean, boolean) - Constructor for class aima.core.environment.wumpusworld.AgentPercept
-
Constructor with all 5 sensor inputs explicitly set.
- AgentPosition - Class in aima.core.environment.wumpusworld
-
Representation of an Agent's [x,y] position and orientation [up, down, right, or left] within a Wumpus World cave.
- AgentPosition(int, int, AgentPosition.Orientation) - Constructor for class aima.core.environment.wumpusworld.AgentPosition
-
- AgentPosition(Room, AgentPosition.Orientation) - Constructor for class aima.core.environment.wumpusworld.AgentPosition
-
- AgentPosition.Orientation - Enum in aima.core.environment.wumpusworld
-
- AgentProgram - Interface in aima.core.agent
-
Artificial Intelligence A Modern Approach (3rd Edition): pg 35.
An agent's behavior is described by the 'agent function' that maps any given
percept sequence to an action.
- agents - Variable in class aima.core.agent.impl.AbstractEnvironment
-
- aima.core.agent - package aima.core.agent
-
- aima.core.agent.impl - package aima.core.agent.impl
-
- aima.core.agent.impl.aprog - package aima.core.agent.impl.aprog
-
- aima.core.agent.impl.aprog.simplerule - package aima.core.agent.impl.aprog.simplerule
-
- aima.core.environment.cellworld - package aima.core.environment.cellworld
-
- aima.core.environment.connectfour - package aima.core.environment.connectfour
-
- aima.core.environment.eightpuzzle - package aima.core.environment.eightpuzzle
-
- aima.core.environment.map - package aima.core.environment.map
-
This package contains classes, which are useful to create map agents.
- aima.core.environment.nqueens - package aima.core.environment.nqueens
-
- aima.core.environment.tictactoe - package aima.core.environment.tictactoe
-
- aima.core.environment.vacuum - package aima.core.environment.vacuum
-
- aima.core.environment.wumpusworld - package aima.core.environment.wumpusworld
-
- aima.core.environment.wumpusworld.action - package aima.core.environment.wumpusworld.action
-
- aima.core.environment.xyenv - package aima.core.environment.xyenv
-
- aima.core.learning.data - package aima.core.learning.data
-
- aima.core.learning.framework - package aima.core.learning.framework
-
- aima.core.learning.inductive - package aima.core.learning.inductive
-
- aima.core.learning.knowledge - package aima.core.learning.knowledge
-
- aima.core.learning.learners - package aima.core.learning.learners
-
- aima.core.learning.neural - package aima.core.learning.neural
-
- aima.core.learning.reinforcement - package aima.core.learning.reinforcement
-
- aima.core.learning.reinforcement.agent - package aima.core.learning.reinforcement.agent
-
- aima.core.learning.reinforcement.example - package aima.core.learning.reinforcement.example
-
- aima.core.logic.common - package aima.core.logic.common
-
- aima.core.logic.fol - package aima.core.logic.fol
-
- aima.core.logic.fol.domain - package aima.core.logic.fol.domain
-
- aima.core.logic.fol.inference - package aima.core.logic.fol.inference
-
- aima.core.logic.fol.inference.otter - package aima.core.logic.fol.inference.otter
-
- aima.core.logic.fol.inference.otter.defaultimpl - package aima.core.logic.fol.inference.otter.defaultimpl
-
- aima.core.logic.fol.inference.proof - package aima.core.logic.fol.inference.proof
-
- aima.core.logic.fol.inference.trace - package aima.core.logic.fol.inference.trace
-
- aima.core.logic.fol.kb - package aima.core.logic.fol.kb
-
- aima.core.logic.fol.kb.data - package aima.core.logic.fol.kb.data
-
- aima.core.logic.fol.parsing - package aima.core.logic.fol.parsing
-
- aima.core.logic.fol.parsing.ast - package aima.core.logic.fol.parsing.ast
-
- aima.core.logic.propositional.agent - package aima.core.logic.propositional.agent
-
- aima.core.logic.propositional.inference - package aima.core.logic.propositional.inference
-
- aima.core.logic.propositional.kb - package aima.core.logic.propositional.kb
-
- aima.core.logic.propositional.kb.data - package aima.core.logic.propositional.kb.data
-
- aima.core.logic.propositional.parsing - package aima.core.logic.propositional.parsing
-
- aima.core.logic.propositional.parsing.ast - package aima.core.logic.propositional.parsing.ast
-
- aima.core.logic.propositional.visitors - package aima.core.logic.propositional.visitors
-
- aima.core.nlp.data.grammars - package aima.core.nlp.data.grammars
-
- aima.core.nlp.data.lexicons - package aima.core.nlp.data.lexicons
-
- aima.core.nlp.parsing - package aima.core.nlp.parsing
-
- aima.core.nlp.parsing.grammars - package aima.core.nlp.parsing.grammars
-
- aima.core.nlp.ranking - package aima.core.nlp.ranking
-
- aima.core.probability - package aima.core.probability
-
- aima.core.probability.bayes - package aima.core.probability.bayes
-
- aima.core.probability.bayes.approx - package aima.core.probability.bayes.approx
-
- aima.core.probability.bayes.exact - package aima.core.probability.bayes.exact
-
- aima.core.probability.bayes.impl - package aima.core.probability.bayes.impl
-
- aima.core.probability.bayes.model - package aima.core.probability.bayes.model
-
- aima.core.probability.domain - package aima.core.probability.domain
-
- aima.core.probability.example - package aima.core.probability.example
-
- aima.core.probability.full - package aima.core.probability.full
-
- aima.core.probability.hmm - package aima.core.probability.hmm
-
- aima.core.probability.hmm.exact - package aima.core.probability.hmm.exact
-
- aima.core.probability.hmm.impl - package aima.core.probability.hmm.impl
-
- aima.core.probability.mdp - package aima.core.probability.mdp
-
- aima.core.probability.mdp.impl - package aima.core.probability.mdp.impl
-
- aima.core.probability.mdp.search - package aima.core.probability.mdp.search
-
- aima.core.probability.proposition - package aima.core.probability.proposition
-
- aima.core.probability.temporal - package aima.core.probability.temporal
-
- aima.core.probability.temporal.generic - package aima.core.probability.temporal.generic
-
- aima.core.probability.util - package aima.core.probability.util
-
- aima.core.robotics - package aima.core.robotics
-
This package provides an generic apporach to the Monte-Carlo-Localization algorithm.
The sub-packages of impl provide functionality for a two-dimensional environment.
- aima.core.robotics.datatypes - package aima.core.robotics.datatypes
-
- aima.core.robotics.impl.datatypes - package aima.core.robotics.impl.datatypes
-
- aima.core.robotics.impl.map - package aima.core.robotics.impl.map
-
- aima.core.search.adversarial - package aima.core.search.adversarial
-
- aima.core.search.csp - package aima.core.search.csp
-
- aima.core.search.csp.examples - package aima.core.search.csp.examples
-
- aima.core.search.framework - package aima.core.search.framework
-
This package (together with its subpackages) contains base classes for search
algorithm implementations.
- aima.core.search.framework.evalfunc - package aima.core.search.framework.evalfunc
-
- aima.core.search.framework.problem - package aima.core.search.framework.problem
-
- aima.core.search.framework.qsearch - package aima.core.search.framework.qsearch
-
This package contains different queue search implementations and a common
interface for them, which is implicitly defined by abstract class
QueueSearch.
- aima.core.search.informed - package aima.core.search.informed
-
- aima.core.search.local - package aima.core.search.local
-
- aima.core.search.nondeterministic - package aima.core.search.nondeterministic
-
- aima.core.search.online - package aima.core.search.online
-
- aima.core.search.uninformed - package aima.core.search.uninformed
-
- aima.core.util - package aima.core.util
-
- aima.core.util.datastructure - package aima.core.util.datastructure
-
- aima.core.util.math - package aima.core.util.math
-
- aima.core.util.math.geom - package aima.core.util.math.geom
-
This package provides basic functionality for geometries in two dimensions.
It includes a Cartesian plot and a parser to build this Cartesian plot.
- aima.core.util.math.geom.shapes - package aima.core.util.math.geom.shapes
-
- ALARM_RV - Static variable in class aima.core.probability.example.ExampleRV
-
- ALBANY - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfAustralia
-
- ALICE_SPRINGS - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfAustralia
-
- alpha(FrequencyCounter<S>, S) - Method in class aima.core.learning.reinforcement.agent.PassiveTDAgent
-
AIMA3e pg.
- alpha(FrequencyCounter<Pair<S, A>>, S, A) - Method in class aima.core.learning.reinforcement.agent.QLearningAgent
-
AIMA3e pg.
- AlphaBetaSearch<STATE,ACTION,PLAYER> - Class in aima.core.search.adversarial
-
Artificial Intelligence A Modern Approach (3rd Ed.): Page 173.
- AlphaBetaSearch(Game<STATE, ACTION, PLAYER>) - Constructor for class aima.core.search.adversarial.AlphaBetaSearch
-
- analyzePotentialWinPositions(Integer) - Method in class aima.core.environment.connectfour.ConnectFourState
-
- AND - Static variable in class aima.core.logic.fol.Connectors
-
- ANDCondition - Class in aima.core.agent.impl.aprog.simplerule
-
Implementation of an AND condition.
- ANDCondition(Condition, Condition) - Constructor for class aima.core.agent.impl.aprog.simplerule.ANDCondition
-
- AndOrSearch - Class in aima.core.search.nondeterministic
-
Artificial Intelligence A Modern Approach (3rd Edition): Figure 4.11, page
136.
- AndOrSearch() - Constructor for class aima.core.search.nondeterministic.AndOrSearch
-
- andSearch(Set<Object>, NondeterministicProblem, Path) - Method in class aima.core.search.nondeterministic.AndOrSearch
-
Returns a conditional plan or null on failure; this function is
equivalent to the following on page 136:
- Angle - Class in aima.core.robotics.impl.datatypes
-
This class stores an angle as a double.
- Angle(double) - Constructor for class aima.core.robotics.impl.datatypes.Angle
-
- angleTo(Vector2D) - Method in class aima.core.util.math.geom.shapes.Vector2D
-
Calculates the angle between two vectors in radians.
Both vectors must be different from the zero-vector.
- answerLiteralNameAdded(FOLDomainAnswerLiteralAddedEvent) - Method in interface aima.core.logic.fol.domain.FOLDomainListener
-
- append(Object...) - Method in class aima.core.search.nondeterministic.Path
-
Creating a new path based on this path and the passed in appended states.
- apply(Individual<Integer>) - Method in class aima.core.environment.nqueens.NQueensGenAlgoUtil.NQueensFitnessFunction
-
- apply(TermEquality, Clause) - Method in class aima.core.logic.fol.inference.Demodulation
-
- apply(TermEquality, AtomicSentence) - Method in class aima.core.logic.fol.inference.Demodulation
-
- apply(Clause, Clause) - Method in class aima.core.logic.fol.inference.Paramodulation
-
- apply(Clause, Clause, boolean) - Method in class aima.core.logic.fol.inference.Paramodulation
-
- apply(Individual<A>) - Method in interface aima.core.search.local.FitnessFunction
-
- applyMove(Set<P>, M) - Method in class aima.core.robotics.MonteCarloLocalization
-
Applies a move to the samples, creating a new Set.
- applyMovement(M) - Method in interface aima.core.robotics.datatypes.IMclPose
-
Moves a pose according to a given move.
This function should return a new object to prevent unpredictable behavior through more than one usage of the same pose.
- ARAD - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfPartOfRomania
-
- ArbitraryTokenDomain - Class in aima.core.probability.domain
-
Artificial Intelligence A Modern Approach (3rd Edition): page 486.
- ArbitraryTokenDomain(Object...) - Constructor for class aima.core.probability.domain.ArbitraryTokenDomain
-
- ArbitraryTokenDomain(boolean, Object...) - Constructor for class aima.core.probability.domain.ArbitraryTokenDomain
-
- AREA_ID - Static variable in class aima.core.robotics.impl.map.MclCartesianPlot2D
-
This is the identifier that is used to find a group of areas in the map file.
- ArrayIterator<T> - Class in aima.core.util
-
Iterates efficiently through an array.
- ArrayIterator(T[]) - Constructor for class aima.core.util.ArrayIterator
-
- arrayLeftDivide(Matrix) - Method in class aima.core.util.math.Matrix
-
Element-by-element left division, C = A.\B
- arrayLeftDivideEquals(Matrix) - Method in class aima.core.util.math.Matrix
-
Element-by-element left division in place, A = A.\B
- arrayRightDivide(Matrix) - Method in class aima.core.util.math.Matrix
-
Element-by-element right division, C = A./B
- arrayRightDivideEquals(Matrix) - Method in class aima.core.util.math.Matrix
-
Element-by-element right division in place, A = A./B
- arrayTimes(Matrix) - Method in class aima.core.util.math.Matrix
-
Element-by-element multiplication, C = A.*B
- arrayTimesEquals(Matrix) - Method in class aima.core.util.math.Matrix
-
Element-by-element multiplication in place, A = A.*B
- asCNF() - Method in class aima.core.logic.propositional.kb.KnowledgeBase
-
- ask(Sentence) - Method in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- ask(FOLKnowledgeBase, Sentence) - Method in class aima.core.logic.fol.inference.FOLBCAsk
-
Returns a set of substitutions
- ask(FOLKnowledgeBase, Sentence) - Method in class aima.core.logic.fol.inference.FOLFCAsk
-
FOL-FC-ASK returns a substitution or false.
- ask(FOLKnowledgeBase, Sentence) - Method in class aima.core.logic.fol.inference.FOLModelElimination
-
- ask(FOLKnowledgeBase, Sentence) - Method in class aima.core.logic.fol.inference.FOLOTTERLikeTheoremProver
-
- ask(FOLKnowledgeBase, Sentence) - Method in class aima.core.logic.fol.inference.FOLTFMResolution
-
- ask(FOLKnowledgeBase, Sentence) - Method in interface aima.core.logic.fol.inference.InferenceProcedure
-
- ask(String) - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- ask(Sentence) - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- ask(KnowledgeBase, Sentence) - Method in class aima.core.logic.propositional.agent.KBAgent
-
A wrapper around the KB's ask() method which translates the action (in the form of
a sentence) determined by the KB into an allowed 'Action' object from the current
environment in which the KB-AGENT resides.
- ask(RandomVariable[], AssignmentProposition[], BayesianNetwork) - Method in class aima.core.probability.bayes.approx.BayesInferenceApproxAdapter
-
- ask(RandomVariable[], AssignmentProposition[], BayesianNetwork, int) - Method in interface aima.core.probability.bayes.approx.BayesSampleInference
-
- ask(RandomVariable[], AssignmentProposition[], BayesianNetwork, int) - Method in class aima.core.probability.bayes.approx.GibbsAsk
-
- ask(RandomVariable[], AssignmentProposition[], BayesianNetwork, int) - Method in class aima.core.probability.bayes.approx.LikelihoodWeighting
-
- ask(RandomVariable[], AssignmentProposition[], BayesianNetwork, int) - Method in class aima.core.probability.bayes.approx.RejectionSampling
-
- ask(RandomVariable[], AssignmentProposition[], BayesianNetwork) - Method in interface aima.core.probability.bayes.BayesInference
-
- ask(RandomVariable[], AssignmentProposition[], BayesianNetwork) - Method in class aima.core.probability.bayes.exact.EliminationAsk
-
- ask(RandomVariable[], AssignmentProposition[], BayesianNetwork) - Method in class aima.core.probability.bayes.exact.EnumerationAsk
-
- askCurrentPosition(int) - Method in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- askGlitter(int) - Method in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- askHaveArrow(int) - Method in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- askNotUnsafeRooms(int) - Method in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- askOK(int, int, int) - Method in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- askPossibleWumpusRooms(int) - Method in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- askSafeRooms(int) - Method in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- askUnvisitedRooms(int) - Method in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- askWithTTEntails(String) - Method in class aima.core.logic.propositional.kb.KnowledgeBase
-
Returns the answer to the specified question using the TT-Entails
algorithm.
- asList() - Method in class aima.core.search.csp.Domain
-
Not very efficient...
- asSentence() - Method in class aima.core.logic.propositional.kb.KnowledgeBase
-
Returns the list of sentences in the knowledge base chained together as a
single sentence.
- assertLegalProbability(double) - Method in class aima.core.logic.propositional.inference.WalkSAT
-
- Assignment - Class in aima.core.search.csp
-
An assignment assigns values to some or all variables of a CSP.
- Assignment() - Constructor for class aima.core.search.csp.Assignment
-
- AssignmentProposition - Class in aima.core.probability.proposition
-
- AssignmentProposition(RandomVariable, Object) - Constructor for class aima.core.probability.proposition.AssignmentProposition
-
- AStarEvaluationFunction - Class in aima.core.search.informed
-
Artificial Intelligence A Modern Approach (3rd Edition): page 93.
The most widely known form of best-first search is called A* search
(pronounced "A-star search").
- AStarEvaluationFunction(HeuristicFunction) - Constructor for class aima.core.search.informed.AStarEvaluationFunction
-
- AStarEvaluationFunction() - Constructor for class aima.core.search.informed.AStarEvaluationFunction
-
Note: Do not forget to heuristic function before starting the search!
- AStarSearch - Class in aima.core.search.informed
-
Artificial Intelligence A Modern Approach (3rd Edition): page 93.
The most widely known form of best-first search is called A* Search
(pronounced "A-star search").
- AStarSearch(QueueSearch, HeuristicFunction) - Constructor for class aima.core.search.informed.AStarSearch
-
Constructs an A* search from a specified search space exploration
strategy and a heuristic function.
- AtomicSentence - Interface in aima.core.logic.fol.parsing.ast
-
- AtomicSentence - Class in aima.core.logic.propositional.parsing.ast
-
Artificial Intelligence A Modern Approach (3rd Edition): page 244.
The atomic sentences consist of a single proposition symbol.
- AtomicSentence() - Constructor for class aima.core.logic.propositional.parsing.ast.AtomicSentence
-
- AttackingPairsHeuristic - Class in aima.core.environment.nqueens
-
Estimates the distance to goal by the number of attacking pairs of queens on
the board.
- AttackingPairsHeuristic() - Constructor for class aima.core.environment.nqueens.AttackingPairsHeuristic
-
- Attribute - Interface in aima.core.learning.framework
-
- ATTRIBUTE_AGENT_LOCATION - Static variable in class aima.core.environment.vacuum.LocalVacuumEnvironmentPercept
-
- ATTRIBUTE_MOVE_TO_LOCATION - Static variable in class aima.core.environment.map.MoveToAction
-
- ATTRIBUTE_NAME - Static variable in class aima.core.agent.impl.DynamicAction
-
- ATTRIBUTE_QUEEN_LOC - Static variable in class aima.core.environment.nqueens.QueenAction
-
- ATTRIBUTE_STATE - Static variable in class aima.core.environment.vacuum.LocalVacuumEnvironmentPercept
-
- ATTRIBUTE_TO_ORIENTATION - Static variable in class aima.core.environment.wumpusworld.action.TurnLeft
-
- ATTRIBUTE_TO_ORIENTATION - Static variable in class aima.core.environment.wumpusworld.action.TurnRight
-
- ATTRIBUTE_TO_POSITION - Static variable in class aima.core.environment.wumpusworld.action.Forward
-
- AttributeSpecification - Interface in aima.core.learning.framework
-
- authority - Variable in class aima.core.nlp.ranking.Page
-
- c(Object, Action, Object) - Method in class aima.core.environment.map.MapStepCostFunction
-
- c(Object, Action, Object) - Method in class aima.core.search.framework.problem.DefaultStepCostFunction
-
- c(Object, Action, Object) - Method in interface aima.core.search.framework.problem.StepCostFunction
-
Calculate the step cost of taking action a in state s to reach state s'.
- CAIRNS - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfAustralia
-
- calculateBiasUpdates(LayerSensitivity, double, double) - Method in class aima.core.learning.neural.BackPropLearning
-
- calculateBiasUpdates(LayerSensitivity, double) - Static method in class aima.core.learning.neural.BackPropLearning
-
- calculateFromPolar(double, double) - Static method in class aima.core.util.math.geom.shapes.Vector2D
-
Calculates a vector based on the length and the heading of the vector.
- calculateGainFor(String) - Method in class aima.core.learning.framework.DataSet
-
- calculateMean(List<Double>) - Static method in class aima.core.util.Util
-
- calculateStDev(List<Double>, double) - Static method in class aima.core.util.Util
-
- calculateVariables(RandomVariable[], AssignmentProposition[], BayesianNetwork, Set<RandomVariable>, Collection<RandomVariable>) - Method in class aima.core.probability.bayes.exact.EliminationAsk
-
Note:Override this method for a more efficient implementation as
outlined in AIMA3e pgs.
- calculateWeight(R) - Method in interface aima.core.robotics.datatypes.IMclRangeReading
-
The range sensor noise model.
- calculateWeightUpdates(LayerSensitivity, Vector, double, double) - Method in class aima.core.learning.neural.BackPropLearning
-
- calculateWeightUpdates(LayerSensitivity, Vector, double) - Static method in class aima.core.learning.neural.BackPropLearning
-
- callDPLL(Set<Clause>, List<PropositionSymbol>, Model, PropositionSymbol, boolean) - Method in class aima.core.logic.propositional.inference.OptimizedDPLL
-
- CAMARVON - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfAustralia
-
- CANBERRA - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfAustralia
-
- cancel() - Method in class aima.core.util.CancelableThread
-
Cancels this thread
- CancelableThread - Class in aima.core.util
-
Implements a thread with an additional flag indicating cancellation.
- CancelableThread() - Constructor for class aima.core.util.CancelableThread
-
- CancelableThread(Runnable) - Constructor for class aima.core.util.CancelableThread
-
- canMoveGap(Action) - Method in class aima.core.environment.eightpuzzle.EightPuzzleBoard
-
- CartesianPlot2D - Class in aima.core.util.math.geom
-
- CartesianPlot2D(IGroupParser) - Constructor for class aima.core.util.math.geom.CartesianPlot2D
-
- CATCH_RV - Static variable in class aima.core.probability.example.ExampleRV
-
- CategoricalDistribution - Interface in aima.core.probability
-
Artificial Intelligence A Modern Approach (3rd Edition): page 487.
A probability distribution for discrete random variables with a finite set of
values.
- CategoricalDistribution.Iterator - Interface in aima.core.probability
-
Interface to be implemented by an object/algorithm that wishes to iterate
over the possible assignments for the random variables comprising this
categorical distribution.
- CAVITY_RV - Static variable in class aima.core.probability.example.ExampleRV
-
- Cell<C> - Class in aima.core.environment.cellworld
-
Artificial Intelligence A Modern Approach (3rd Edition): page 645.
A representation of a Cell in the environment detailed in Figure 17.1.
- Cell(int, int, C) - Constructor for class aima.core.environment.cellworld.Cell
-
Construct a Cell.
- CellWorld<C> - Class in aima.core.environment.cellworld
-
Artificial Intelligence A Modern Approach (3rd Edition): page 645.
A representation for the environment depicted in figure 17.1.
Note: the x and y coordinates are always positive integers starting at
1.
Note: If looking at a rectangle - the coordinate (x=1, y=1) will be the
bottom left hand corner.
- CellWorld(int, int, C) - Constructor for class aima.core.environment.cellworld.CellWorld
-
Construct a Cell World with size xDimension * y Dimension cells, all with
their values set to a default content value.
- CellWorldAction - Enum in aima.core.environment.cellworld
-
Artificial Intelligence A Modern Approach (3rd Edition): page 645.
The actions in every state are Up, Down, Left, and Right.
Note: Moving 'North' causes y to increase by 1, 'Down' y to decrease by
1, 'Left' x to decrease by 1, and 'Right' x to increase by 1 within a Cell
World.
- CellWorldEnvironment - Class in aima.core.learning.reinforcement.example
-
Implementation of the Cell World Environment, supporting the execution of
trials for reinforcement learning agents.
- CellWorldEnvironment(Cell<Double>, Set<Cell<Double>>, TransitionProbabilityFunction<Cell<Double>, CellWorldAction>, Randomizer) - Constructor for class aima.core.learning.reinforcement.example.CellWorldEnvironment
-
Constructor.
- CellWorldEnvironmentState - Class in aima.core.learning.reinforcement.example
-
An implementation of the EnvironmentState interface for a Cell World.
- CellWorldEnvironmentState() - Constructor for class aima.core.learning.reinforcement.example.CellWorldEnvironmentState
-
Default Constructor.
- CellWorldFactory - Class in aima.core.environment.cellworld
-
- CellWorldFactory() - Constructor for class aima.core.environment.cellworld.CellWorldFactory
-
- CellWorldPercept - Class in aima.core.learning.reinforcement.example
-
An implementation of the PerceptStateReward interface for the cell world
environment.
- CellWorldPercept(Cell<Double>) - Constructor for class aima.core.learning.reinforcement.example.CellWorldPercept
-
Constructor.
- Chain - Class in aima.core.logic.fol.kb.data
-
A Chain is a sequence of literals (while a clause is a set) - order is
important for a chain.
- Chain() - Constructor for class aima.core.logic.fol.kb.data.Chain
-
- Chain(List<Literal>) - Constructor for class aima.core.logic.fol.kb.data.Chain
-
- Chain(Set<Literal>) - Constructor for class aima.core.logic.fol.kb.data.Chain
-
- CHARLEVILLE - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfAustralia
-
- checkDistanceOfPoses(Set<P>, double) - Method in class aima.core.robotics.impl.map.MclCartesianPlot2D
-
Calculate the maximum distance between all samples and compare it to maxDistance.
- checkForNanOrInfinity(double) - Static method in class aima.core.util.Util
-
- checkValidRandomVariableName(String) - Static method in class aima.core.probability.util.ProbUtil
-
Check if name provided is valid for use as the name of a RandomVariable.
- Circle2D - Class in aima.core.util.math.geom.shapes
-
This class implements a circle in a two-dimensional Cartesian plot.
The circle is represented by a
Point2D center and a
double radius.
- Circle2D(Point2D, double) - Constructor for class aima.core.util.math.geom.shapes.Circle2D
-
- Circle2D(double, double, double) - Constructor for class aima.core.util.math.geom.shapes.Circle2D
-
- Clause - Class in aima.core.logic.fol.kb.data
-
A Clause: A disjunction of literals.
- Clause() - Constructor for class aima.core.logic.fol.kb.data.Clause
-
- Clause(List<Literal>) - Constructor for class aima.core.logic.fol.kb.data.Clause
-
- Clause(List<Literal>, List<Literal>) - Constructor for class aima.core.logic.fol.kb.data.Clause
-
- Clause - Class in aima.core.logic.propositional.kb.data
-
Artificial Intelligence A Modern Approach (3rd Edition): page 253.
A Clause: A disjunction of literals.
- Clause() - Constructor for class aima.core.logic.propositional.kb.data.Clause
-
Default constructor - i.e.
- Clause(Literal...) - Constructor for class aima.core.logic.propositional.kb.data.Clause
-
Construct a clause from the given literals.
- Clause(Collection<Literal>) - Constructor for class aima.core.logic.propositional.kb.data.Clause
-
Construct a clause from the given literals.
- ClauseCollector - Class in aima.core.logic.propositional.visitors
-
Utility class for collecting clauses from CNF Sentences.
- ClauseCollector() - Constructor for class aima.core.logic.propositional.visitors.ClauseCollector
-
- ClauseFilter - Interface in aima.core.logic.fol.inference.otter
-
- ClauseSimplifier - Interface in aima.core.logic.fol.inference.otter
-
- clear() - Method in class aima.core.environment.map.ExtendableMap
-
Removes everything.
- clear() - Method in class aima.core.environment.nqueens.NQueensBoard
-
- clear() - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- clear() - Method in class aima.core.search.csp.DomainRestoreInfo
-
- clear() - Method in class aima.core.util.datastructure.LabeledGraph
-
Removes all vertices and all edges from the graph.
- clear() - Method in class aima.core.util.DisjointSets
-
Remove all the disjoint sets.
- clear() - Method in class aima.core.util.FrequencyCounter
-
Remove all the currently recorded frequency counts.
- clearInstrumentation() - Method in class aima.core.search.framework.qsearch.QueueSearch
-
Sets all metrics to zero.
- clearInstrumentation() - Method in class aima.core.search.local.GeneticAlgorithm
-
Sets the population size and number of iterations to zero.
- clearLinks() - Method in class aima.core.environment.map.ExtendableMap
-
Clears all connections but keeps location position informations.
- Climb - Class in aima.core.environment.wumpusworld.action
-
Artificial Intelligence A Modern Approach (3rd Edition): page 237.
The action Climb can be used to climb out of the cave, but only from square
[1,1].
- Climb() - Constructor for class aima.core.environment.wumpusworld.action.Climb
-
- CLIMB_ACTION_NAME - Static variable in class aima.core.environment.wumpusworld.action.Climb
-
- clone() - Method in class aima.core.environment.connectfour.ConnectFourState
-
- clone() - Method in class aima.core.environment.tictactoe.TicTacToeState
-
- clone() - Method in class aima.core.environment.vacuum.VacuumEnvironmentState
-
- clone() - Method in interface aima.core.robotics.datatypes.IMclPose
-
Clones an object according to Cloneable.
- clone() - Method in class aima.core.util.math.geom.shapes.Point2D
-
- clone() - Method in class aima.core.util.math.Matrix
-
Clone the Matrix object.
- CLOUDY_RV - Static variable in class aima.core.probability.example.ExampleRV
-
- CNF - Class in aima.core.logic.fol.kb.data
-
Conjunctive Normal Form (CNF) : a conjunction of clauses, where each clause
is a disjunction of literals.
- CNF(List<Clause>) - Constructor for class aima.core.logic.fol.kb.data.CNF
-
- CNFConverter - Class in aima.core.logic.fol
-
Artificial Intelligence A Modern Approach (3rd Edition): page 345.
Every sentence of first-order logic can be converted into an inferentially
equivalent CNF sentence.
Note: Transformation rules extracted from 346 and 347, which are
essentially the INSEADO method outlined in:
INSEADO Rules
- CNFConverter(FOLParser) - Constructor for class aima.core.logic.fol.CNFConverter
-
- CNFGRAMMAR - Static variable in class aima.core.nlp.parsing.grammars.ProbUnrestrictedGrammar
-
- collectAllVariables(Sentence) - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- collectAllVariables(Sentence) - Method in class aima.core.logic.fol.VariableCollector
-
- collectAllVariables(Term) - Method in class aima.core.logic.fol.VariableCollector
-
- collectAllVariables(Clause) - Method in class aima.core.logic.fol.VariableCollector
-
- collectAllVariables(Chain) - Method in class aima.core.logic.fol.VariableCollector
-
- COMMA - Static variable in interface aima.core.logic.common.LogicTokenTypes
-
- compactify() - Method in class aima.core.search.csp.DomainRestoreInfo
-
Can be called after all domain information has been collected to reduce
storage consumption.
- compareDoubles(double, double) - Static method in class aima.core.util.Util
-
Compares two doubles for equality.
- compareFloats(float, float) - Static method in class aima.core.util.Util
-
Compares two floats for equality.
- compareTo(ActionValuePair<ACTION>) - Method in class aima.core.environment.connectfour.ActionValuePair
-
- compareTo(Angle) - Method in class aima.core.robotics.impl.datatypes.Angle
-
- ComplexSentence - Class in aima.core.logic.propositional.parsing.ast
-
Artificial Intelligence A Modern Approach (3rd Edition): page 244.
Complex Sentence: are constructed from simpler sentences, using
parentheses (and square brackets) and logical connectives.
- ComplexSentence(Connective, Sentence...) - Constructor for class aima.core.logic.propositional.parsing.ast.ComplexSentence
-
Constructor.
- ComplexSentence(Sentence, Connective, Sentence) - Constructor for class aima.core.logic.propositional.parsing.ast.ComplexSentence
-
Convenience constructor for binary sentences.
- conclusion(Clause) - Method in class aima.core.logic.propositional.inference.PLFCEntails
-
- Condition - Class in aima.core.agent.impl.aprog.simplerule
-
Base abstract class for describing conditions.
- Condition() - Constructor for class aima.core.agent.impl.aprog.simplerule.Condition
-
- ConditionalProbabilityDistribution - Interface in aima.core.probability.bayes
-
A conditional probability distribution on a RandomVariable Xi:
P(Xi | Parents(Xi)) that quantifies the effect of the
parents on Xi.
- ConditionalProbabilityTable - Interface in aima.core.probability.bayes
-
Artificial Intelligence A Modern Approach (3rd Edition): page 512.
A Conditional Probability Table, or CPT, can be used for representing
conditional probabilities for discrete (finite) random variables.
- ConjunctionOfClauses - Class in aima.core.logic.propositional.kb.data
-
Artificial Intelligence A Modern Approach (3rd Edition): page 253.
A conjunction of clauses, where each clause is a disjunction of literals.
- ConjunctionOfClauses(Collection<Clause>) - Constructor for class aima.core.logic.propositional.kb.data.ConjunctionOfClauses
-
Constructor.
- ConjunctiveProposition - Class in aima.core.probability.proposition
-
- ConjunctiveProposition(Proposition, Proposition) - Constructor for class aima.core.probability.proposition.ConjunctiveProposition
-
- ConnectedSentence - Class in aima.core.logic.fol.parsing.ast
-
- ConnectedSentence(String, Sentence, Sentence) - Constructor for class aima.core.logic.fol.parsing.ast.ConnectedSentence
-
- ConnectFourAIPlayer - Class in aima.core.environment.connectfour
-
Implements an iterative deepening Minimax search with alpha-beta pruning and
a special action ordering optimized for the Connect Four game.
- ConnectFourAIPlayer(Game<ConnectFourState, Integer, String>, int) - Constructor for class aima.core.environment.connectfour.ConnectFourAIPlayer
-
- ConnectFourGame - Class in aima.core.environment.connectfour
-
Provides an implementation of the ConnectFour game which can be used for
experiments with the Minimax algorithm.
- ConnectFourGame() - Constructor for class aima.core.environment.connectfour.ConnectFourGame
-
- ConnectFourState - Class in aima.core.environment.connectfour
-
A state of the Connect Four game is characterized by a board containing a
grid of spaces for disks, the next player to move, and some utility
informations.
- ConnectFourState(int, int) - Constructor for class aima.core.environment.connectfour.ConnectFourState
-
- CONNECTIVE - Static variable in interface aima.core.logic.common.LogicTokenTypes
-
- Connective - Enum in aima.core.logic.propositional.parsing.ast
-
Artificial Intelligence A Modern Approach (3rd Edition): page 244.
- Connectors - Class in aima.core.logic.fol
-
- Connectors() - Constructor for class aima.core.logic.fol.Connectors
-
- CONSTANT - Static variable in interface aima.core.logic.common.LogicTokenTypes
-
- Constant - Class in aima.core.logic.fol.parsing.ast
-
- Constant(String) - Constructor for class aima.core.logic.fol.parsing.ast.Constant
-
- ConstantDecisonTree - Class in aima.core.learning.inductive
-
- ConstantDecisonTree(String) - Constructor for class aima.core.learning.inductive.ConstantDecisonTree
-
- Constraint - Interface in aima.core.search.csp
-
A constraint specifies the allowable combinations of values for a set of
variables.
- construct2FairDiceNetwor() - Static method in class aima.core.probability.example.BayesNetExampleFactory
-
- constructBurglaryAlarmNetwork() - Static method in class aima.core.probability.example.BayesNetExampleFactory
-
- constructCloudySprinklerRainWetGrassNetwork() - Static method in class aima.core.probability.example.BayesNetExampleFactory
-
- constructConjunction(Proposition[]) - Static method in class aima.core.probability.util.ProbUtil
-
Convenience method for ensure a conjunction of probabilistic
propositions.
- constructMeningitisStiffNeckNetwork() - Static method in class aima.core.probability.example.BayesNetExampleFactory
-
- constructToothacheCavityCatchNetwork() - Static method in class aima.core.probability.example.BayesNetExampleFactory
-
- constructToothacheCavityCatchWeatherNetwork() - Static method in class aima.core.probability.example.BayesNetExampleFactory
-
- constructWithCopy(double[][]) - Static method in class aima.core.util.math.Matrix
-
Construct a matrix from a copy of a 2-D array.
- consume() - Method in class aima.core.logic.common.Lexer
-
Consume 1 character from the input.
- consume() - Method in class aima.core.logic.common.Parser
-
Consume 1 token from the input.
- consume() - Method in class aima.core.logic.fol.parsing.FOLParser
-
- contains(RandomVariable) - Method in interface aima.core.probability.bayes.ConditionalProbabilityDistribution
-
- contains(RandomVariable) - Method in class aima.core.probability.bayes.impl.CPT
-
- contains(RandomVariable) - Method in interface aima.core.probability.Factor
-
- contains(RandomVariable) - Method in interface aima.core.probability.ProbabilityDistribution
-
- contains(RandomVariable) - Method in class aima.core.probability.util.ProbabilityTable
-
- contains(Object) - Method in class aima.core.search.csp.Domain
-
- containsKey(K1, K2) - Method in class aima.core.util.datastructure.TwoKeyHashMap
-
Returns true if this map contains a mapping for the
specified key pair.
- containsValue(RandomVariable) - Method in class aima.core.probability.bayes.exact.EnumerationAsk.ObservedEvidence
-
- CONTEXT_FREE - Static variable in class aima.core.nlp.parsing.grammars.ProbUnrestrictedGrammar
-
- CONTEXT_SENSITIVE - Static variable in class aima.core.nlp.parsing.grammars.ProbUnrestrictedGrammar
-
- ContinuousDomain - Interface in aima.core.probability.domain
-
A Domain over a continuous not countable set of objects (e.g.
- ContinuousNode - Interface in aima.core.probability.bayes
-
A node over a Random Variable that has a continuous domain.
- convert(Sentence) - Static method in class aima.core.logic.propositional.visitors.ConvertToCNF
-
Returns the specified sentence in its logically equivalent conjunctive
normal form.
- convert(Sentence) - Static method in class aima.core.logic.propositional.visitors.ConvertToConjunctionOfClauses
-
Returns the specified sentence in its logically equivalent conjunction of
clauses.
- convert(Sentence) - Static method in class aima.core.logic.propositional.visitors.ConvertToDNF
-
Returns the specified sentence in its logically equivalent disjunction
normal form.
- convert(Sentence) - Static method in class aima.core.logic.propositional.visitors.ConvertToNNF
-
Returns the specified sentence in its logically equivalent negation
normal form.
- convert(CategoricalDistribution) - Method in interface aima.core.probability.hmm.HiddenMarkovModel
-
Convert a Categorical Distribution into a column vector in Matrix form.
- convert(Matrix) - Method in interface aima.core.probability.hmm.HiddenMarkovModel
-
Convert a column vector in Matrix form to a Categorical Distribution.
- convert(List<Matrix>) - Method in interface aima.core.probability.hmm.HiddenMarkovModel
-
Convert a list of column vectors in Matrix form into a corresponding list
of Categorical Distributions.
- convert(CategoricalDistribution) - Method in class aima.core.probability.hmm.impl.HMM
-
- convert(Matrix) - Method in class aima.core.probability.hmm.impl.HMM
-
- convert(List<Matrix>) - Method in class aima.core.probability.hmm.impl.HMM
-
- convertToClauses(Sentence) - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- convertToCNF(Sentence) - Method in class aima.core.logic.fol.CNFConverter
-
Returns the specified sentence as a list of clauses, where each clause is
a disjunction of literals.
- convertToCNF(Sentence) - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- ConvertToCNF - Class in aima.core.logic.propositional.visitors
-
Convert a Sentence into an equivalent Conjunctive Normal Form (CNF) Sentence.
- ConvertToCNF() - Constructor for class aima.core.logic.propositional.visitors.ConvertToCNF
-
- ConvertToConjunctionOfClauses - Class in aima.core.logic.propositional.visitors
-
Artificial Intelligence A Modern Approach (3rd Edition): page 253.
A sentence expression as a conjunction of clauses is said to be in
conjunctive normal form or CNF.
- ConvertToConjunctionOfClauses() - Constructor for class aima.core.logic.propositional.visitors.ConvertToConjunctionOfClauses
-
- ConvertToDNF - Class in aima.core.logic.propositional.visitors
-
Convert a Sentence into an equivalent Disjunctive Normal Form (DNF) Sentence.
- ConvertToDNF() - Constructor for class aima.core.logic.propositional.visitors.ConvertToDNF
-
- ConvertToNNF - Class in aima.core.logic.propositional.visitors
-
Convert a Sentence into an equivalent Negation Normal Form (NNF) Sentence.
- ConvertToNNF() - Constructor for class aima.core.logic.propositional.visitors.ConvertToNNF
-
- COOBER_PEDY - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfAustralia
-
- copy() - Method in class aima.core.agent.impl.ObjectWithDynamicAttributes
-
Creates and returns a copy of this ObjectWithDynamicAttributes
- copy() - Method in class aima.core.learning.framework.DataSet
-
- copy() - Method in interface aima.core.logic.fol.parsing.ast.AtomicSentence
-
- copy() - Method in class aima.core.logic.fol.parsing.ast.ConnectedSentence
-
- copy() - Method in class aima.core.logic.fol.parsing.ast.Constant
-
- copy() - Method in interface aima.core.logic.fol.parsing.ast.FOLNode
-
- copy() - Method in class aima.core.logic.fol.parsing.ast.Function
-
- copy() - Method in class aima.core.logic.fol.parsing.ast.NotSentence
-
- copy() - Method in class aima.core.logic.fol.parsing.ast.Predicate
-
- copy() - Method in class aima.core.logic.fol.parsing.ast.QuantifiedSentence
-
- copy() - Method in interface aima.core.logic.fol.parsing.ast.Sentence
-
- copy() - Method in interface aima.core.logic.fol.parsing.ast.Term
-
- copy() - Method in class aima.core.logic.fol.parsing.ast.TermEquality
-
- copy() - Method in class aima.core.logic.fol.parsing.ast.Variable
-
- copy() - Method in class aima.core.search.csp.Assignment
-
- copy() - Method in class aima.core.util.math.Matrix
-
Make a deep copy of a matrix
- copyDomains() - Method in class aima.core.search.csp.CSP
-
Returns a copy which contains a copy of the domains list and is in all
other aspects a flat copy of this.
- copyExample() - Method in class aima.core.learning.neural.NNExample
-
- copyVector() - Method in class aima.core.util.math.Vector
-
Returns a copy of this vector.
- counter - Variable in class aima.core.search.framework.NodeExpander
-
- CPT - Class in aima.core.probability.bayes.impl
-
Default implementation of the ConditionalProbabilityTable interface.
- CPT(RandomVariable, double[], RandomVariable...) - Constructor for class aima.core.probability.bayes.impl.CPT
-
- CRAIOVA - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfPartOfRomania
-
- create(Collection<K>, V) - Static method in class aima.core.util.Util
-
Create a Map with the passed in keys having their values
initialized to the passed in value.
- createABCDEqualityAndSubstitutionKnowledgeBase(InferenceProcedure, boolean) - Static method in class aima.core.logic.fol.kb.FOLKnowledgeBaseFactory
-
- createABCEqualityKnowledgeBase(InferenceProcedure, boolean) - Static method in class aima.core.logic.fol.kb.FOLKnowledgeBaseFactory
-
- createActionsFunctionForFigure17_1(CellWorld<Double>) - Static method in class aima.core.probability.example.MDPFactory
-
Returns the allowed actions from a specified cell within the cell world
described in Fig 17.1.
- createAnswerLiteral(Sentence) - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- createAttribute(String) - Method in interface aima.core.learning.framework.AttributeSpecification
-
- createAttribute(String) - Method in class aima.core.learning.framework.NumericAttributeSpecification
-
- createAttribute(String) - Method in class aima.core.learning.framework.StringAttributeSpecification
-
- createCellWorldForFig17_1() - Static method in class aima.core.environment.cellworld.CellWorldFactory
-
Create the cell world as defined in Figure 17.1 in AIMA3e.
- createDiagonalMatrix(List<Double>) - Static method in class aima.core.util.math.Matrix
-
Construct a diagonal Matrix from the given List of doubles
- createDLTestsWithAttributeCount(DataSet, int) - Method in class aima.core.learning.inductive.DLTestFactory
-
- createExamplesFromDataSet(DataSet, Numerizer) - Method in class aima.core.learning.neural.NNDataSet
-
- createExamplesFromFile(String) - Method in class aima.core.learning.neural.NNDataSet
-
- createExogenousChange() - Method in class aima.core.agent.impl.AbstractEnvironment
-
Method for implementing dynamic environments in which not all changes are
directly caused by agent action execution.
- createFifoQueue() - Static method in class aima.core.search.framework.QueueFactory
-
Returns a LinkedList.
- createFor(ACTION, double) - Static method in class aima.core.environment.connectfour.ActionValuePair
-
- createFor(Game<STATE, ACTION, PLAYER>) - Static method in class aima.core.search.adversarial.AlphaBetaSearch
-
Creates a new search object for a given game.
- createFor(Game<STATE, ACTION, PLAYER>, double, double, int) - Static method in class aima.core.search.adversarial.IterativeDeepeningAlphaBetaSearch
-
Creates a new search object for a given game.
- createFor(Game<STATE, ACTION, PLAYER>) - Static method in class aima.core.search.adversarial.MinimaxSearch
-
Creates a new search object for a given game.
- createHeuristicFunction(Object) - Method in interface aima.core.search.framework.evalfunc.HeuristicFunctionFactory
-
- createIrisDataSetSpec() - Static method in class aima.core.learning.framework.DataSetFactory
-
- createKingsKnowledgeBase(InferenceProcedure) - Static method in class aima.core.logic.fol.kb.FOLKnowledgeBaseFactory
-
- createLifoQueue() - Static method in class aima.core.search.framework.QueueFactory
-
Returns a Last-in-first-out (Lifo) view on a LinkedList.
- createLovesAnimalKnowledgeBase(InferenceProcedure) - Static method in class aima.core.logic.fol.kb.FOLKnowledgeBaseFactory
-
- createMDPForFigure17_3(CellWorld<Double>) - Static method in class aima.core.probability.example.MDPFactory
-
Constructs an MDP that can be used to generate the utility values
detailed in Fig 17.3.
- createNode(Object, Node, Action, double) - Method in class aima.core.search.framework.NodeExpander
-
Computes the path cost for getting from the root node state via the
parent node state to the specified state, creates a new node for the
specified state, adds it as child of the provided parent (if
NodeExpander.useParentLinks is true), and returns it.
- createNormalizedDataFromDataSet(DataSet, Numerizer) - Method in class aima.core.learning.neural.NNDataSet
-
- createNormalizedDataFromFile(String) - Method in class aima.core.learning.neural.NNDataSet
-
- createPriorityQueue(Comparator<? super E>) - Static method in class aima.core.search.framework.QueueFactory
-
Returns a standard java PriorityQueue.
- createRandomIndividual() - Method in class aima.core.search.local.GeneticAlgorithmForNumbers
-
Convenience method.
- createRestaurantDataSetSpec() - Static method in class aima.core.learning.framework.DataSetFactory
-
- createRewardFunctionForFigure17_1() - Static method in class aima.core.probability.example.MDPFactory
-
- createRingOfThievesKnowledgeBase(InferenceProcedure) - Static method in class aima.core.logic.fol.kb.FOLKnowledgeBaseFactory
-
- createRootNode(Object) - Method in class aima.core.search.framework.NodeExpander
-
Factory method, which creates a root node for the specified state.
- createSet(V...) - Static method in class aima.core.util.Util
-
Create a set for the provided values.
- createTransitionProbabilityFunctionForFigure17_1(CellWorld<Double>) - Static method in class aima.core.probability.example.MDPFactory
-
Figure 17.1 (b) Illustration of the transition model of the environment:
the 'intended' outcome occurs with probability 0.8, but with probability
0.2 the agent moves at right angles to the intended direction.
- createUnitMessage() - Method in interface aima.core.probability.hmm.HiddenMarkovModel
-
Return a new column vector in matrix form with all values set to 1.0.
- createUnitMessage() - Method in class aima.core.probability.hmm.impl.HMM
-
- createWeaponsKnowledgeBase(InferenceProcedure) - Static method in class aima.core.logic.fol.kb.FOLKnowledgeBaseFactory
-
- crusadesDomain() - Static method in class aima.core.logic.fol.domain.DomainFactory
-
- CSP - Class in aima.core.search.csp
-
Artificial Intelligence A Modern Approach (3rd Ed.): Section 6.1, Page 202.
A constraint satisfaction problem or CSP consists of three components, X, D,
and C:
X is a set of variables, {X1, ...
- CSP() - Constructor for class aima.core.search.csp.CSP
-
Creates a new CSP.
- CSP(List<Variable>) - Constructor for class aima.core.search.csp.CSP
-
Creates a new CSP.
- CSPStateListener - Interface in aima.core.search.csp
-
Interface which allows interested clients to register at a solution strategy
and follow their progress step by step.
- currDepthLimit - Variable in class aima.core.search.adversarial.IterativeDeepeningAlphaBetaSearch
-
- CurrentBestLearner - Class in aima.core.learning.learners
-
- CurrentBestLearner(String) - Constructor for class aima.core.learning.learners.CurrentBestLearner
-
- CurrentBestLearning - Class in aima.core.learning.knowledge
-
Artificial Intelligence A Modern Approach (3rd Edition): Figure 19.2, page
771.
- CurrentBestLearning(FOLDataSetDomain, FOLKnowledgeBase) - Constructor for class aima.core.learning.knowledge.CurrentBestLearning
-
- currentBestLearning(List<FOLExample>) - Method in class aima.core.learning.knowledge.CurrentBestLearning
-
- currGoalIdx - Variable in class aima.core.environment.map.MapAgent
-
- currIsCanceled() - Static method in class aima.core.util.CancelableThread
-
Returns true if the current thread is canceled
- CUTOFF_NODE - Static variable in class aima.core.search.uninformed.DepthLimitedSearch
-
- CYK - Class in aima.core.nlp.parsing
-
Artificial Intelligence A Modern Approach (3rd Edition): page 894.
- CYK() - Constructor for class aima.core.nlp.parsing.CYK
-
- DARWIN - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfAustralia
-
- DataResource - Class in aima.core.learning.data
-
- DataResource() - Constructor for class aima.core.learning.data.DataResource
-
- DataSet - Class in aima.core.learning.framework
-
- DataSet() - Constructor for class aima.core.learning.framework.DataSet
-
- DataSet(DataSetSpecification) - Constructor for class aima.core.learning.framework.DataSet
-
- DataSetFactory - Class in aima.core.learning.framework
-
- DataSetFactory() - Constructor for class aima.core.learning.framework.DataSetFactory
-
- DataSetSpecification - Class in aima.core.learning.framework
-
- DataSetSpecification() - Constructor for class aima.core.learning.framework.DataSetSpecification
-
- DecisionList - Class in aima.core.learning.inductive
-
- DecisionList(String, String) - Constructor for class aima.core.learning.inductive.DecisionList
-
- DecisionListLearner - Class in aima.core.learning.learners
-
- DecisionListLearner(String, String, DLTestFactory) - Constructor for class aima.core.learning.learners.DecisionListLearner
-
- DecisionTree - Class in aima.core.learning.inductive
-
- DecisionTree() - Constructor for class aima.core.learning.inductive.DecisionTree
-
- DecisionTree(String) - Constructor for class aima.core.learning.inductive.DecisionTree
-
- DecisionTreeLearner - Class in aima.core.learning.learners
-
- DecisionTreeLearner() - Constructor for class aima.core.learning.learners.DecisionTreeLearner
-
- DecisionTreeLearner(DecisionTree, String) - Constructor for class aima.core.learning.learners.DecisionTreeLearner
-
- decrement(Map<Clause, Integer>, Clause) - Method in class aima.core.logic.propositional.inference.PLFCEntails
-
- decrement() - Method in class aima.core.util.math.MixedRadixNumber
-
Decrements the value of the mixed radix number, if the value is greater
than zero.
- DEFAULT_ROUNDING_THRESHOLD - Static variable in interface aima.core.probability.ProbabilityModel
-
The default threshold for rounding errors.
- DefaultClauseFilter - Class in aima.core.logic.fol.inference.otter.defaultimpl
-
- DefaultClauseFilter() - Constructor for class aima.core.logic.fol.inference.otter.defaultimpl.DefaultClauseFilter
-
- DefaultClauseSimplifier - Class in aima.core.logic.fol.inference.otter.defaultimpl
-
- DefaultClauseSimplifier() - Constructor for class aima.core.logic.fol.inference.otter.defaultimpl.DefaultClauseSimplifier
-
- DefaultClauseSimplifier(List<TermEquality>) - Constructor for class aima.core.logic.fol.inference.otter.defaultimpl.DefaultClauseSimplifier
-
- DefaultGoalTest - Class in aima.core.search.framework.problem
-
Checks whether a given state equals an explicitly specified goal state.
- DefaultGoalTest(Object) - Constructor for class aima.core.search.framework.problem.DefaultGoalTest
-
- DefaultLightestClauseHeuristic - Class in aima.core.logic.fol.inference.otter.defaultimpl
-
- DefaultLightestClauseHeuristic() - Constructor for class aima.core.logic.fol.inference.otter.defaultimpl.DefaultLightestClauseHeuristic
-
- DefaultStepCostFunction - Class in aima.core.search.framework.problem
-
Returns one for every action.
- DefaultStepCostFunction() - Constructor for class aima.core.search.framework.problem.DefaultStepCostFunction
-
- defineNumericAttribute(String) - Method in class aima.core.learning.framework.DataSetSpecification
-
- defineStringAttribute(String, String[]) - Method in class aima.core.learning.framework.DataSetSpecification
-
- degreeAngle(double) - Static method in class aima.core.robotics.impl.datatypes.Angle
-
Creates a new angle based on a degree value.
- Demodulation - Class in aima.core.logic.fol.inference
-
Artificial Intelligence A Modern Approach (3rd Edition): page 354.
Demodulation: For any terms x, y, and z, where z appears somewhere in literal
mi and where UNIFY(x,z) = θ:
- Demodulation() - Constructor for class aima.core.logic.fol.inference.Demodulation
-
- denumerize(List<Double>) - Method in class aima.core.learning.neural.IrisDataSetNumerizer
-
- denumerize(List<Double>) - Method in interface aima.core.learning.neural.Numerizer
-
- DepthFirstSearch - Class in aima.core.search.uninformed
-
Artificial Intelligence A Modern Approach (3rd Edition): page 85.
Depth-first search always expands the deepest node in the current frontier of
the search tree.
- DepthFirstSearch(QueueSearch) - Constructor for class aima.core.search.uninformed.DepthFirstSearch
-
- DepthLimitedSearch - Class in aima.core.search.uninformed
-
Artificial Intelligence A Modern Approach (3rd Edition): Figure 3.17, page
88.
- DepthLimitedSearch(int) - Constructor for class aima.core.search.uninformed.DepthLimitedSearch
-
- DepthLimitedSearch(int, NodeExpander) - Constructor for class aima.core.search.uninformed.DepthLimitedSearch
-
- deriv(double) - Method in interface aima.core.learning.neural.ActivationFunction
-
- deriv(double) - Method in class aima.core.learning.neural.HardLimitActivationFunction
-
- deriv(double) - Method in class aima.core.learning.neural.LogSigActivationFunction
-
- deriv(double) - Method in class aima.core.learning.neural.PureLinearActivationFunction
-
- DerivedProposition - Interface in aima.core.probability.proposition
-
- derives(List<String>) - Method in class aima.core.nlp.parsing.grammars.Rule
-
- derives(String) - Method in class aima.core.nlp.parsing.grammars.Rule
-
- describeAttributes() - Method in class aima.core.agent.impl.ObjectWithDynamicAttributes
-
Returns a string representation of the object's current attributes
- describeType() - Method in class aima.core.agent.impl.DynamicAction
-
- describeType() - Method in class aima.core.agent.impl.DynamicEnvironmentState
-
- describeType() - Method in class aima.core.agent.impl.DynamicPercept
-
- describeType() - Method in class aima.core.agent.impl.DynamicState
-
- describeType() - Method in class aima.core.agent.impl.ObjectWithDynamicAttributes
-
By default, returns the simple name of the underlying class as given in
the source code.
- det() - Method in class aima.core.util.math.LUDecomposition
-
Determinant
- det() - Method in class aima.core.util.math.Matrix
-
Matrix determinant
- determinant() - Method in class aima.core.util.math.geom.shapes.TransformMatrix2D
-
Calculates the determinant of this transformation matrix.
- determineAllInlinks(Map<String, Page>) - Static method in class aima.core.nlp.ranking.PagesDataset
-
- determineValue(Clause) - Method in class aima.core.logic.propositional.kb.data.Model
-
Determine based on the current assignments within the model, whether a
clause is known to be true, false, or unknown.
- DICE_1_RV - Static variable in class aima.core.probability.example.ExampleRV
-
- DICE_2_RV - Static variable in class aima.core.probability.example.ExampleRV
-
- difference(Set<T>, Set<T>) - Static method in class aima.core.util.SetOps
-
- DiffNotEqualConstraint - Class in aima.core.search.csp.examples
-
Represents a binary constraint which forbids equal values.
- DiffNotEqualConstraint(Variable, Variable, int) - Constructor for class aima.core.search.csp.examples.DiffNotEqualConstraint
-
- discardTautologies(Set<Clause>) - Method in class aima.core.logic.propositional.inference.PLResolution
-
- DiscreteDomain - Interface in aima.core.probability.domain
-
A Domain over a countable/discrete set of objects (may be infinite).
- DiscreteNode - Interface in aima.core.probability.bayes
-
A node over a Random Variable that has a countable domain (may be infinite).
- DisjointSets<E> - Class in aima.core.util
-
A basic implementation of a disjoint-set data structure for maintaining a
collection of disjoint dynamic sets.
- DisjointSets() - Constructor for class aima.core.util.DisjointSets
-
Default Constructor.
- DisjointSets(Collection<E>) - Constructor for class aima.core.util.DisjointSets
-
Constructor.
- DisjointSets(E...) - Constructor for class aima.core.util.DisjointSets
-
Constructor.
- DisjunctiveProposition - Class in aima.core.probability.proposition
-
Artificial Intelligence A Modern Approach (3rd Edition): Formula 13.4, page
489.
We can also derive the well-known formula for the probability of a
disjunction, sometimes called the inclusion-exclusion principle:
P(a OR b) = P(a) + P(b) - P(a AND b).
- DisjunctiveProposition(Proposition, Proposition) - Constructor for class aima.core.probability.proposition.DisjunctiveProposition
-
- distance(Point2D) - Method in class aima.core.util.math.geom.shapes.Point2D
-
Returns the Euclidean distance between a specified point and this point.
- distanceTo(P) - Method in interface aima.core.robotics.datatypes.IMclPose
-
Calculates the length of the straight line between this pose and another pose.
x.distanceTo(y) has to return the same value as y.distanceTo(x).
- distribute(Sentence) - Static method in class aima.core.logic.propositional.visitors.DistributeAndOverOr
-
Distribute and (&) over or (|).
- distribute(Sentence) - Static method in class aima.core.logic.propositional.visitors.DistributeOrOverAnd
-
Distribute or (|) over and (&).
- DistributeAndOverOr - Class in aima.core.logic.propositional.visitors
-
Artificial Intelligence A Modern Approach (3rd Edition): page 249.
Distributivity of & over |:
(α & (β | γ))
≡
((α & β) | (α & γ))
- DistributeAndOverOr() - Constructor for class aima.core.logic.propositional.visitors.DistributeAndOverOr
-
- DistributeOrOverAnd - Class in aima.core.logic.propositional.visitors
-
Artificial Intelligence A Modern Approach (3rd Edition): page 249.
Distributivity of | over &:
(α | (β & γ))
≡
((α | β) & (α | γ))
- DistributeOrOverAnd() - Constructor for class aima.core.logic.propositional.visitors.DistributeOrOverAnd
-
- divideBy(CategoricalDistribution) - Method in interface aima.core.probability.CategoricalDistribution
-
Divide the dividend (this) CategoricalDistribution by the divisor to
create a new CategoricalDistribution representing the quotient.
- divideBy(CategoricalDistribution) - Method in class aima.core.probability.util.ProbabilityTable
-
- divideBy(ProbabilityTable) - Method in class aima.core.probability.util.ProbabilityTable
-
- DLTest - Class in aima.core.learning.inductive
-
- DLTest() - Constructor for class aima.core.learning.inductive.DLTest
-
- DLTestFactory - Class in aima.core.learning.inductive
-
- DLTestFactory() - Constructor for class aima.core.learning.inductive.DLTestFactory
-
- DOBRETA - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfPartOfRomania
-
- Domain - Interface in aima.core.probability.domain
-
Artificial Intelligence A Modern Approach (3rd Edition): page 486.
Every random variable has a domain - the set of possible values it can
take on.
- Domain - Class in aima.core.search.csp
-
A domain Di consists of a set of allowable values {v1, ...
- Domain(List<?>) - Constructor for class aima.core.search.csp.Domain
-
- Domain(Object[]) - Constructor for class aima.core.search.csp.Domain
-
- DomainFactory - Class in aima.core.logic.fol.domain
-
- DomainFactory() - Constructor for class aima.core.logic.fol.domain.DomainFactory
-
- DomainRestoreInfo - Class in aima.core.search.csp
-
Provides informations which might be useful for a caller of a constraint
propagation algorithm.
- DomainRestoreInfo() - Constructor for class aima.core.search.csp.DomainRestoreInfo
-
- doubleValue() - Method in class aima.core.util.math.MixedRadixNumber
-
- DOWN - Static variable in class aima.core.environment.eightpuzzle.EightPuzzleBoard
-
- down() - Method in class aima.core.util.datastructure.XYLocation
-
Returns the location one unit below this location.
- DPLL - Interface in aima.core.logic.propositional.inference
-
Interface describing main API of the DPLL algorithm as described in Figure
7.17 but not how it should be implemented.
- dpll(Set<Clause>, List<PropositionSymbol>, Model) - Method in interface aima.core.logic.propositional.inference.DPLL
-
DPLL(clauses, symbols, model)
- dpll(Set<Clause>, List<PropositionSymbol>, Model) - Method in class aima.core.logic.propositional.inference.DPLLSatisfiable
-
DPLL(clauses, symbols, model)
- dpll(Set<Clause>, List<PropositionSymbol>, Model) - Method in class aima.core.logic.propositional.inference.OptimizedDPLL
-
DPLL(clauses, symbols, model)
- dpllSatisfiable(Sentence) - Method in interface aima.core.logic.propositional.inference.DPLL
-
DPLL-SATISFIABLE?(s)
Checks the satisfiability of a sentence in propositional logic.
- DPLLSatisfiable - Class in aima.core.logic.propositional.inference
-
Artificial Intelligence A Modern Approach (3rd Edition): page 261.
- DPLLSatisfiable() - Constructor for class aima.core.logic.propositional.inference.DPLLSatisfiable
-
- dpllSatisfiable(Sentence) - Method in class aima.core.logic.propositional.inference.DPLLSatisfiable
-
DPLL-SATISFIABLE?(s)
Checks the satisfiability of a sentence in propositional logic.
- dpllSatisfiable(Sentence) - Method in class aima.core.logic.propositional.inference.OptimizedDPLL
-
- dropDisk(int) - Method in class aima.core.environment.connectfour.ConnectFourState
-
- DUBBO - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfAustralia
-
- DynamicAction - Class in aima.core.agent.impl
-
- DynamicAction(String) - Constructor for class aima.core.agent.impl.DynamicAction
-
- DynamicBayesianNetwork - Interface in aima.core.probability.bayes
-
Artificial Intelligence A Modern Approach (3rd Edition): page 590.
A dynamic Bayesian network, or DBN, is a Bayesian network that
represents a temporal probability model.
- DynamicBayesNet - Class in aima.core.probability.bayes.impl
-
Default implementation of the DynamicBayesianNetwork interface.
- DynamicBayesNet(BayesianNetwork, Map<RandomVariable, RandomVariable>, Set<RandomVariable>, Node...) - Constructor for class aima.core.probability.bayes.impl.DynamicBayesNet
-
- DynamicBayesNetExampleFactory - Class in aima.core.probability.example
-
- DynamicBayesNetExampleFactory() - Constructor for class aima.core.probability.example.DynamicBayesNetExampleFactory
-
- DynamicEnvironmentState - Class in aima.core.agent.impl
-
- DynamicEnvironmentState() - Constructor for class aima.core.agent.impl.DynamicEnvironmentState
-
- DynamicPercept - Class in aima.core.agent.impl
-
- DynamicPercept() - Constructor for class aima.core.agent.impl.DynamicPercept
-
- DynamicPercept(Object, Object) - Constructor for class aima.core.agent.impl.DynamicPercept
-
Constructs a DynamicPercept with one attribute
- DynamicPercept(Object, Object, Object, Object) - Constructor for class aima.core.agent.impl.DynamicPercept
-
Constructs a DynamicPercept with two attributes
- DynamicPercept(Object[], Object[]) - Constructor for class aima.core.agent.impl.DynamicPercept
-
Constructs a DynamicPercept with an array of attributes
- DynamicState - Class in aima.core.agent.impl
-
- DynamicState() - Constructor for class aima.core.agent.impl.DynamicState
-
- DynAttributeNames - Class in aima.core.environment.map
-
The AIMA framework uses dynamic attributes to make implementations of agents
and environments completely independent of each other.
- DynAttributeNames() - Constructor for class aima.core.environment.map.DynAttributeNames
-
- earlyGoalTest - Variable in class aima.core.search.framework.qsearch.QueueSearch
-
- EARTHQUAKE_RV - Static variable in class aima.core.probability.example.ExampleRV
-
- east() - Method in class aima.core.util.datastructure.XYLocation
-
Returns the location one unit right of this location.
- EFORIE - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfPartOfRomania
-
- EightPuzzleBoard - Class in aima.core.environment.eightpuzzle
-
- EightPuzzleBoard() - Constructor for class aima.core.environment.eightpuzzle.EightPuzzleBoard
-
- EightPuzzleBoard(int[]) - Constructor for class aima.core.environment.eightpuzzle.EightPuzzleBoard
-
- EightPuzzleBoard(EightPuzzleBoard) - Constructor for class aima.core.environment.eightpuzzle.EightPuzzleBoard
-
- EightPuzzleFunctionFactory - Class in aima.core.environment.eightpuzzle
-
- EightPuzzleFunctionFactory() - Constructor for class aima.core.environment.eightpuzzle.EightPuzzleFunctionFactory
-
- EightPuzzleGoalTest - Class in aima.core.environment.eightpuzzle
-
- EightPuzzleGoalTest() - Constructor for class aima.core.environment.eightpuzzle.EightPuzzleGoalTest
-
- eliminate(Sentence) - Static method in class aima.core.logic.propositional.visitors.BiconditionalElimination
-
Eliminate the biconditionals from a sentence.
- eliminate(Sentence) - Static method in class aima.core.logic.propositional.visitors.ImplicationElimination
-
Eliminate the implications from a sentence.
- EliminationAsk - Class in aima.core.probability.bayes.exact
-
Artificial Intelligence A Modern Approach (3rd Edition): Figure 14.11, page
528.
- EliminationAsk() - Constructor for class aima.core.probability.bayes.exact.EliminationAsk
-
- eliminationAsk(RandomVariable[], AssignmentProposition[], BayesianNetwork) - Method in class aima.core.probability.bayes.exact.EliminationAsk
-
The ELIMINATION-ASK algorithm in Figure 14.11.
- Ellipse2D - Class in aima.core.util.math.geom.shapes
-
This class implements an ellipse in a two-dimensional Cartesian plot.
As an ellipse can be rotated around its center it is represented by a center
Point2D and two
Vector2D that are the horizontal and vertical radius.
- Ellipse2D(Point2D, double, double) - Constructor for class aima.core.util.math.geom.shapes.Ellipse2D
-
- Ellipse2D(Point2D, Vector2D, Vector2D) - Constructor for class aima.core.util.math.geom.shapes.Ellipse2D
-
- EMPTY - Static variable in class aima.core.environment.tictactoe.TicTacToeState
-
- EMPTY - Static variable in class aima.core.logic.propositional.kb.data.Clause
-
- emptyDataSet() - Method in class aima.core.learning.framework.DataSet
-
- enableLCV(boolean) - Method in class aima.core.search.csp.ImprovedBacktrackingStrategy
-
Selects the least constraining value heuristic as implementation for
ORDER-DOMAIN-VALUES.
- enumerateAll(List<RandomVariable>, EnumerationAsk.ObservedEvidence) - Method in class aima.core.probability.bayes.exact.EnumerationAsk
-
- EnumerationAsk - Class in aima.core.probability.bayes.exact
-
Artificial Intelligence A Modern Approach (3rd Edition): Figure 14.9, page
525.
- EnumerationAsk() - Constructor for class aima.core.probability.bayes.exact.EnumerationAsk
-
- enumerationAsk(RandomVariable[], AssignmentProposition[], BayesianNetwork) - Method in class aima.core.probability.bayes.exact.EnumerationAsk
-
The ENUMERATION-ASK algorithm in Figure 14.9 evaluates expression trees
(Figure 14.8) using depth-first recursion.
- EnumerationAsk.ObservedEvidence - Class in aima.core.probability.bayes.exact
-
- Environment - Interface in aima.core.agent
-
An abstract description of possible discrete Environments in which Agent(s)
can perceive and act.
- EnvironmentObject - Interface in aima.core.agent
-
An interface used to indicate any object that can belong within an
Environment.
- EnvironmentState - Interface in aima.core.agent
-
An interface used to indicate a possible state of an Environment.
- EnvironmentView - Interface in aima.core.agent
-
Allows external applications/logic to view the interaction of Agent(s) with
an Environment.
- EnvironmentViewNotifier - Interface in aima.core.agent
-
- envObjects - Variable in class aima.core.agent.impl.AbstractEnvironment
-
- envState - Variable in class aima.core.environment.vacuum.VacuumEnvironment
-
- EOI - Static variable in interface aima.core.logic.common.LogicTokenTypes
-
- EQUALCondition - Class in aima.core.agent.impl.aprog.simplerule
-
Implementation of an EQUALity condition.
- EQUALCondition(Object, Object) - Constructor for class aima.core.agent.impl.aprog.simplerule.EQUALCondition
-
- equals(Object) - Method in class aima.core.agent.impl.aprog.simplerule.Condition
-
- equals(Object) - Method in class aima.core.agent.impl.aprog.simplerule.Rule
-
- equals(Object) - Method in class aima.core.agent.impl.ObjectWithDynamicAttributes
-
- equals(Object) - Method in class aima.core.environment.cellworld.Cell
-
- equals(Object) - Method in class aima.core.environment.connectfour.ConnectFourState
-
- equals(Object) - Method in class aima.core.environment.eightpuzzle.EightPuzzleBoard
-
- equals(Object) - Method in class aima.core.environment.nqueens.NQueensBoard
-
- equals(Object) - Method in class aima.core.environment.tictactoe.TicTacToeState
-
- equals(Object) - Method in class aima.core.environment.vacuum.VacuumEnvironmentState
-
- equals(Object) - Method in class aima.core.environment.wumpusworld.AgentPosition
-
- equals(Object) - Method in class aima.core.environment.wumpusworld.Room
-
- equals(Object) - Method in class aima.core.learning.framework.DataSet
-
- equals(Object) - Method in class aima.core.learning.framework.Example
-
- EQUALS - Static variable in interface aima.core.logic.common.LogicTokenTypes
-
- equals(Object) - Method in class aima.core.logic.common.Token
-
- equals(Object) - Method in class aima.core.logic.fol.kb.data.Clause
-
- equals(Object) - Method in class aima.core.logic.fol.kb.data.Literal
-
- equals(Object) - Method in class aima.core.logic.fol.parsing.ast.ConnectedSentence
-
- equals(Object) - Method in class aima.core.logic.fol.parsing.ast.Constant
-
- equals(Object) - Method in class aima.core.logic.fol.parsing.ast.Function
-
- equals(Object) - Method in class aima.core.logic.fol.parsing.ast.NotSentence
-
- equals(Object) - Method in class aima.core.logic.fol.parsing.ast.Predicate
-
- equals(Object) - Method in class aima.core.logic.fol.parsing.ast.QuantifiedSentence
-
- equals(Object) - Method in class aima.core.logic.fol.parsing.ast.TermEquality
-
- equals(Object) - Method in class aima.core.logic.fol.parsing.ast.Variable
-
- equals(Object) - Method in class aima.core.logic.propositional.kb.data.Clause
-
- equals(Object) - Method in class aima.core.logic.propositional.kb.data.ConjunctionOfClauses
-
- equals(Object) - Method in class aima.core.logic.propositional.kb.data.Literal
-
- equals(Object) - Method in class aima.core.logic.propositional.parsing.ast.ComplexSentence
-
- equals(Object) - Method in class aima.core.logic.propositional.parsing.ast.PropositionSymbol
-
- equals(Object) - Method in class aima.core.probability.bayes.impl.AbstractNode
-
- equals(Object) - Method in class aima.core.probability.domain.ArbitraryTokenDomain
-
- equals(Object) - Method in class aima.core.probability.domain.BooleanDomain
-
- equals(Object) - Method in class aima.core.probability.domain.FiniteIntegerDomain
-
- equals(Object) - Method in class aima.core.probability.util.RandVar
-
- equals(Object) - Method in class aima.core.search.csp.Domain
-
- equals(Object) - Method in class aima.core.search.csp.Variable
-
- equals(Object) - Method in class aima.core.util.datastructure.Pair
-
- equals(Object) - Method in class aima.core.util.datastructure.Triplet
-
- equals(Object) - Method in class aima.core.util.datastructure.XYLocation
-
- equals(Point2D) - Method in class aima.core.util.math.geom.shapes.Point2D
-
Checks a point for equality with this point.
- equals(Object) - Method in class aima.core.util.math.geom.shapes.Point2D
-
- equals(TransformMatrix2D) - Method in class aima.core.util.math.geom.shapes.TransformMatrix2D
-
Compares this matrix to another transformation matrix.
- equals(Object) - Method in class aima.core.util.math.geom.shapes.TransformMatrix2D
-
Compares this matrix to another object.
- equals(Vector2D) - Method in class aima.core.util.math.geom.shapes.Vector2D
-
Checks equality for this vector with another vector.
- equals(Object) - Method in class aima.core.util.math.geom.shapes.Vector2D
-
- EquivalentProposition - Class in aima.core.probability.proposition
-
- EquivalentProposition(String, RandomVariable...) - Constructor for class aima.core.probability.proposition.EquivalentProposition
-
- errorVectorFrom(Vector) - Method in class aima.core.learning.neural.Layer
-
- ESPERANCE - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfAustralia
-
- eval(ConnectFourState, String) - Method in class aima.core.environment.connectfour.ConnectFourAIPlayer
-
Modifies the super implementation by making safe winner values even more
attractive if depth is small.
- eval(STATE, PLAYER) - Method in class aima.core.search.adversarial.IterativeDeepeningAlphaBetaSearch
-
Primitive operation, which estimates the value for (not necessarily
terminal) states.
- evaluate(ObjectWithDynamicAttributes) - Method in class aima.core.agent.impl.aprog.simplerule.ANDCondition
-
- evaluate(ObjectWithDynamicAttributes) - Method in class aima.core.agent.impl.aprog.simplerule.Condition
-
- evaluate(ObjectWithDynamicAttributes) - Method in class aima.core.agent.impl.aprog.simplerule.EQUALCondition
-
- evaluate(ObjectWithDynamicAttributes) - Method in class aima.core.agent.impl.aprog.simplerule.NOTCondition
-
- evaluate(ObjectWithDynamicAttributes) - Method in class aima.core.agent.impl.aprog.simplerule.ORCondition
-
- evaluate(ObjectWithDynamicAttributes) - Method in class aima.core.agent.impl.aprog.simplerule.Rule
-
- evaluate(Map<S, A>, Map<S, Double>, MarkovDecisionProcess<S, A>) - Method in class aima.core.probability.mdp.impl.ModifiedPolicyEvaluation
-
- evaluate(Map<S, A>, Map<S, Double>, MarkovDecisionProcess<S, A>) - Method in interface aima.core.probability.mdp.PolicyEvaluation
-
Policy evaluation: given a policy πi, calculate
Ui=Uπi, the utility of each state if
πi were to be executed.
- evaluateManhattanDistanceOf(int, XYLocation) - Method in class aima.core.environment.eightpuzzle.ManhattanHeuristicFunction
-
- EvaluationFunction - Interface in aima.core.search.framework.evalfunc
-
Artificial Intelligence A Modern Approach (3rd Edition): page 92.
The evaluation function is construed as a cost estimate, so the node with the
lowest evaluation is expanded first.
- everyClauseTrue(Set<Clause>, Model) - Method in class aima.core.logic.propositional.inference.DPLLSatisfiable
-
- Example - Class in aima.core.learning.framework
-
- Example(Hashtable<String, Attribute>, Attribute) - Constructor for class aima.core.learning.framework.Example
-
- exampleFromString(String, DataSetSpecification, String) - Static method in class aima.core.learning.framework.DataSetFactory
-
- ExampleRV - Class in aima.core.probability.example
-
Predefined example Random Variables from AIMA3e.
- ExampleRV() - Constructor for class aima.core.probability.example.ExampleRV
-
- examples - Variable in class aima.core.learning.framework.DataSet
-
- execute(Percept) - Method in interface aima.core.agent.Agent
-
Call the Agent's program, which maps any given percept sequences to an
action.
- execute(Percept) - Method in interface aima.core.agent.AgentProgram
-
The Agent's program, which maps any given percept sequences to an action.
- execute(Percept) - Method in class aima.core.agent.impl.AbstractAgent
-
- execute(Percept) - Method in class aima.core.agent.impl.aprog.ModelBasedReflexAgentProgram
-
- execute(Percept) - Method in class aima.core.agent.impl.aprog.SimpleReflexAgentProgram
-
- execute(Percept) - Method in class aima.core.agent.impl.aprog.TableDrivenAgentProgram
-
- execute(Percept) - Method in class aima.core.environment.vacuum.NondeterministicVacuumAgent
-
Execute an action from the contingency plan
- execute(Percept) - Method in class aima.core.environment.wumpusworld.HybridWumpusAgent
-
function HYBRID-WUMPUS-AGENT(percept) returns an action
- execute(PerceptStateReward<S>) - Method in class aima.core.learning.reinforcement.agent.PassiveADPAgent
-
Passive reinforcement learning based on adaptive dynamic programming.
- execute(PerceptStateReward<S>) - Method in class aima.core.learning.reinforcement.agent.PassiveTDAgent
-
Passive reinforcement learning that learns utility estimates using
temporal differences
- execute(PerceptStateReward<S>) - Method in class aima.core.learning.reinforcement.agent.QLearningAgent
-
An exploratory Q-learning agent.
- execute(PerceptStateReward<S>) - Method in class aima.core.learning.reinforcement.agent.ReinforcementAgent
-
Map the given percept to an Agent action.
- execute(Percept) - Method in class aima.core.learning.reinforcement.agent.ReinforcementAgent
-
- execute(Percept) - Method in class aima.core.logic.propositional.agent.KBAgent
-
- execute(Percept) - Method in class aima.core.search.framework.ProblemSolvingAgent
-
Template method, which corresponds to pseudo code function
PROBLEM-SOLVING-AGENT(percept).
- execute(Percept) - Method in class aima.core.search.framework.SearchAgent
-
- execute(Percept) - Method in class aima.core.search.framework.SimpleProblemSolvingAgent
-
- execute(Percept) - Method in class aima.core.search.online.LRTAStarAgent
-
- execute(Percept) - Method in class aima.core.search.online.OnlineDFSAgent
-
- executeAction(Agent, Action) - Method in class aima.core.agent.impl.AbstractEnvironment
-
- executeAction(Agent, Action) - Method in class aima.core.environment.map.MapEnvironment
-
- executeAction(Agent, Action) - Method in class aima.core.environment.vacuum.NondeterministicVacuumEnvironment
-
Execute the agent action
- executeAction(Agent, Action) - Method in class aima.core.environment.vacuum.VacuumEnvironment
-
- executeAction(Agent, Action) - Method in class aima.core.environment.xyenv.XYEnvironment
-
Does nothing (don't ask me why...).
- executeAction(Agent, Action) - Method in class aima.core.learning.reinforcement.example.CellWorldEnvironment
-
- executeTrial() - Method in class aima.core.learning.reinforcement.example.CellWorldEnvironment
-
Execute a single trial.
- executeTrials(int) - Method in class aima.core.learning.reinforcement.example.CellWorldEnvironment
-
Execute N trials.
- EXISTS - Static variable in class aima.core.logic.fol.Quantifiers
-
- expand(Node, Problem) - Method in class aima.core.search.framework.NodeExpander
-
Returns the children obtained from expanding the specified node in the
specified problem.
- expandedNodes - Variable in class aima.core.search.nondeterministic.AndOrSearch
-
- expandPages(List<Page>) - Method in class aima.core.nlp.ranking.HITS
-
Adds pages that are linked to or is linked from one of the pages passed
as argument.
- expectedSizeOfCategoricalDistribution(RandomVariable...) - Static method in class aima.core.probability.util.ProbUtil
-
Calculated the expected size of a CategoricalDistribution for the
provided random variables.
- expectedSizeOfProbabilityTable(RandomVariable...) - Static method in class aima.core.probability.util.ProbUtil
-
Calculated the expected size of a ProbabilityTable for the provided
random variables.
- extend(Collection<Clause>) - Method in class aima.core.logic.propositional.kb.data.ConjunctionOfClauses
-
Create a new conjunction of clauses by taking the clauses from the
current conjunction and adding additional clauses to it.
- ExtendableMap - Class in aima.core.environment.map
-
Implements a map with locations, distance labeled links between the
locations, straight line distances, and 2d-placement positions of locations.
- ExtendableMap() - Constructor for class aima.core.environment.map.ExtendableMap
-
Creates an empty map.
- extendedWeightedSampleWithReplacement(Set<P>, double[]) - Method in class aima.core.robotics.MonteCarloLocalization
-
Taken
weightedSampleWithReplacement out of
ParticleFiltering and extended by a minimum weight.
- f(Double, int) - Method in class aima.core.learning.reinforcement.agent.QLearningAgent
-
AIMA3e pg.
- f(Node) - Method in interface aima.core.search.framework.evalfunc.EvaluationFunction
-
- f(Node) - Method in class aima.core.search.informed.AStarEvaluationFunction
-
Returns g(n) the cost to reach the node, plus h(n) the
heuristic cost to get from the specified node to the goal.
- f(Node) - Method in class aima.core.search.informed.GreedyBestFirstEvaluationFunction
-
- FACING_EAST - Static variable in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- FACING_NORTH - Static variable in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- FACING_SOUTH - Static variable in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- FACING_WEST - Static variable in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- Factor - Interface in aima.core.probability
-
Artificial Intelligence A Modern Approach (3rd Edition): page 524.
Each factor is a matrix indexed by its argument variables.
- Factor.Iterator - Interface in aima.core.probability
-
Interface to be implemented by an object/algorithm that wishes to iterate
over the possible assignments for the random variables comprising this
Factor.
- FAGARAS - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfPartOfRomania
-
- FAILURE - Static variable in class aima.core.learning.learners.DecisionListLearner
-
- failure() - Static method in class aima.core.search.framework.SearchUtils
-
Returns an empty action list.
- FALSE - Static variable in interface aima.core.logic.common.LogicTokenTypes
-
- FALSE - Static variable in class aima.core.logic.propositional.parsing.ast.PropositionSymbol
-
- FALSE_SYMBOL - Static variable in class aima.core.logic.propositional.parsing.ast.PropositionSymbol
-
- feedForward(Vector) - Method in class aima.core.learning.neural.Layer
-
- FeedForwardNeuralNetwork - Class in aima.core.learning.neural
-
- FeedForwardNeuralNetwork(NNConfig) - Constructor for class aima.core.learning.neural.FeedForwardNeuralNetwork
-
- FeedForwardNeuralNetwork(Matrix, Vector, Matrix, Vector) - Constructor for class aima.core.learning.neural.FeedForwardNeuralNetwork
-
- fetch(Literal) - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- fetch(List<Literal>) - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- fillLookAheadBuffer() - Method in class aima.core.logic.fol.parsing.FOLParser
-
- filter(Set<Clause>) - Method in interface aima.core.logic.fol.inference.otter.ClauseFilter
-
- filter(Set<Clause>) - Method in class aima.core.logic.fol.inference.otter.defaultimpl.DefaultClauseFilter
-
- find(E) - Method in class aima.core.util.DisjointSets
-
Find the disjoint set that an element belongs to.
- findActions(Problem) - Method in class aima.core.search.framework.PrioritySearch
-
- findActions(Problem) - Method in interface aima.core.search.framework.SearchForActions
-
Returns a list of actions to the goal if the goal was found, a list
containing a single NoOp Action if already at the goal, or an empty list
if the goal could not be found.
- findActions(Problem) - Method in class aima.core.search.informed.RecursiveBestFirstSearch
-
- findActions(Problem) - Method in class aima.core.search.local.HillClimbingSearch
-
- findActions(Problem) - Method in class aima.core.search.local.SimulatedAnnealingSearch
-
- findActions(Problem) - Method in class aima.core.search.uninformed.BreadthFirstSearch
-
- findActions(Problem) - Method in class aima.core.search.uninformed.DepthFirstSearch
-
- findActions(Problem) - Method in class aima.core.search.uninformed.DepthLimitedSearch
-
Returns a list of actions to the goal if the goal was found, a list
containing a single NoOp Action if already at the goal, an empty list if
the goal could not be found.
- findActions(Problem) - Method in class aima.core.search.uninformed.IterativeDeepeningSearch
-
- findNode(Problem, Queue<Node>) - Method in class aima.core.search.framework.qsearch.BidirectionalSearch
-
Implements an approximation algorithm for bidirectional problems with
exactly one initial and one goal state.
- findNode(Problem, Queue<Node>) - Method in class aima.core.search.framework.qsearch.GraphSearch
-
Clears the set of explored states and calls the search implementation of
QueueSearch.
- findNode(Problem, Queue<Node>) - Method in class aima.core.search.framework.qsearch.GraphSearchBFS
-
Clears the set of explored states and calls the search implementation of
QueSearch
- findNode(Problem, Queue<Node>) - Method in class aima.core.search.framework.qsearch.GraphSearchReducedFrontier
-
Sets the comparator if a priority queue is used, resets explored list and
state map and calls the inherited version of search.
- findNode(Problem, Queue<Node>) - Method in class aima.core.search.framework.qsearch.QueueSearch
-
Receives a problem and a queue implementing the search strategy and
computes a node referencing a goal state, if such a state was found.
- findNode(Problem) - Method in class aima.core.search.local.SimulatedAnnealingSearch
-
- findNode(Problem) - Method in class aima.core.search.uninformed.DepthLimitedSearch
-
- findPureSymbol(List<PropositionSymbol>, Set<Clause>, Model) - Method in class aima.core.logic.propositional.inference.DPLLSatisfiable
-
AIMA3e p.g.
- findPureSymbol(List<PropositionSymbol>, Set<Clause>, Model) - Method in class aima.core.logic.propositional.inference.OptimizedDPLL
-
AIMA3e p.g.
- findState(Problem) - Method in class aima.core.search.framework.PrioritySearch
-
- findState(Problem) - Method in interface aima.core.search.framework.SearchForStates
-
Returns a state which is might be but not necessary is a goal state of
the problem.
- findState(Problem) - Method in class aima.core.search.local.HillClimbingSearch
-
- findState(Problem) - Method in class aima.core.search.local.SimulatedAnnealingSearch
-
- findState(Problem) - Method in class aima.core.search.uninformed.BreadthFirstSearch
-
- findState(Problem) - Method in class aima.core.search.uninformed.DepthFirstSearch
-
- findState(Problem) - Method in class aima.core.search.uninformed.DepthLimitedSearch
-
- findState(Problem) - Method in class aima.core.search.uninformed.IterativeDeepeningSearch
-
- findSubsumedClauses(Set<Clause>) - Static method in class aima.core.logic.fol.SubsumptionElimination
-
Returns the clauses that are subsumed by (that is, more specific than) an
existing clause in the specified set of clauses.
- findUnitClause(Set<Clause>, Model) - Method in class aima.core.logic.propositional.inference.DPLLSatisfiable
-
AIMA3e p.g.
- findUnitClause(Set<Clause>, Model) - Method in class aima.core.logic.propositional.inference.OptimizedDPLL
-
AIMA3e p.g.
- finiteAlphabet - Variable in class aima.core.search.local.GeneticAlgorithm
-
- FiniteBayesModel - Class in aima.core.probability.bayes.model
-
Very simple implementation of the FiniteProbabilityModel API using a Bayesian
Network, consisting of FiniteNodes, to represent the underlying model.
Note: The implementation currently doesn't take advantage of the use
of evidence values when calculating posterior values using the provided
Bayesian Inference implementation (e.g enumerationAsk).
- FiniteBayesModel(BayesianNetwork) - Constructor for class aima.core.probability.bayes.model.FiniteBayesModel
-
- FiniteBayesModel(BayesianNetwork, BayesInference) - Constructor for class aima.core.probability.bayes.model.FiniteBayesModel
-
- FiniteDomain - Interface in aima.core.probability.domain
-
A Domain over a countable/discrete and finite set of objects.
- FiniteIntegerDomain - Class in aima.core.probability.domain
-
- FiniteIntegerDomain(Integer...) - Constructor for class aima.core.probability.domain.FiniteIntegerDomain
-
- FiniteNode - Interface in aima.core.probability.bayes
-
A node over a Random Variable that has a finite countable domain.
- FiniteProbabilityModel - Interface in aima.core.probability
-
Artificial Intelligence A Modern Approach (3rd Edition): page 484.
A probability model on a discrete, countable set of worlds.
- fireStateChanged(CSP) - Method in class aima.core.search.csp.SolutionStrategy
-
- fireStateChanged(Assignment, CSP) - Method in class aima.core.search.csp.SolutionStrategy
-
- first(List<T>) - Static method in class aima.core.util.Util
-
Get the first element from a list.
- FitnessFunction<A> - Interface in aima.core.search.local
-
Artificial Intelligence A Modern Approach (3rd Edition): page 127.
Each state is rated by the objective function, or (in Genetic Algorithm
terminology) the fitness function.
- FixedLagSmoothing - Class in aima.core.probability.hmm.exact
-
Artificial Intelligence A Modern Approach (3rd Edition): page 580.
- FixedLagSmoothing(HiddenMarkovModel, int) - Constructor for class aima.core.probability.hmm.exact.FixedLagSmoothing
-
Create a Fixed-Lag-Smoothing implementation, that sets up the required
persistent values.
- fixedLagSmoothing(List<AssignmentProposition>) - Method in class aima.core.probability.hmm.exact.FixedLagSmoothing
-
Algorithm for smoothing with a fixed time lag of d steps, implemented as
an online algorithm that outputs the new smoothed estimate given the
observation for a new time step.
- flip(PropositionSymbol) - Method in class aima.core.logic.propositional.kb.data.Model
-
- flipSymbolInClauseMaximizesNumberSatisfiedClauses(Clause, Set<Clause>, Model) - Method in class aima.core.logic.propositional.inference.WalkSAT
-
- floatValue() - Method in class aima.core.util.math.MixedRadixNumber
-
- flush() - Static method in class aima.core.logic.fol.StandardizeApartIndexicalFactory
-
- FOLBCAsk - Class in aima.core.logic.fol.inference
-
Artificial Intelligence A Modern Approach (2nd Edition): Figure 9.6, page
288.
- FOLBCAsk() - Constructor for class aima.core.logic.fol.inference.FOLBCAsk
-
- FOLDataSetDomain - Class in aima.core.learning.knowledge
-
- FOLDataSetDomain(DataSetSpecification, String) - Constructor for class aima.core.learning.knowledge.FOLDataSetDomain
-
- FOLDomain - Class in aima.core.logic.fol.domain
-
- FOLDomain() - Constructor for class aima.core.logic.fol.domain.FOLDomain
-
- FOLDomain(FOLDomain) - Constructor for class aima.core.logic.fol.domain.FOLDomain
-
- FOLDomain(Set<String>, Set<String>, Set<String>) - Constructor for class aima.core.logic.fol.domain.FOLDomain
-
- FOLDomainAnswerLiteralAddedEvent - Class in aima.core.logic.fol.domain
-
- FOLDomainAnswerLiteralAddedEvent(Object, String) - Constructor for class aima.core.logic.fol.domain.FOLDomainAnswerLiteralAddedEvent
-
- FOLDomainEvent - Class in aima.core.logic.fol.domain
-
- FOLDomainEvent(Object) - Constructor for class aima.core.logic.fol.domain.FOLDomainEvent
-
- FOLDomainListener - Interface in aima.core.logic.fol.domain
-
- FOLDomainSkolemConstantAddedEvent - Class in aima.core.logic.fol.domain
-
- FOLDomainSkolemConstantAddedEvent(Object, String) - Constructor for class aima.core.logic.fol.domain.FOLDomainSkolemConstantAddedEvent
-
- FOLDomainSkolemFunctionAddedEvent - Class in aima.core.logic.fol.domain
-
- FOLDomainSkolemFunctionAddedEvent(Object, String) - Constructor for class aima.core.logic.fol.domain.FOLDomainSkolemFunctionAddedEvent
-
- FOLExample - Class in aima.core.learning.knowledge
-
- FOLExample(FOLDataSetDomain, Example, int) - Constructor for class aima.core.learning.knowledge.FOLExample
-
- FOLFCAsk - Class in aima.core.logic.fol.inference
-
Artificial Intelligence A Modern Approach (3rd Edition): Figure 9.3, page
332.
- FOLFCAsk() - Constructor for class aima.core.logic.fol.inference.FOLFCAsk
-
- FOLKnowledgeBase - Class in aima.core.logic.fol.kb
-
A First Order Logic (FOL) Knowledge Base.
- FOLKnowledgeBase(FOLDomain) - Constructor for class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- FOLKnowledgeBase(FOLDomain, InferenceProcedure) - Constructor for class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- FOLKnowledgeBase(FOLDomain, InferenceProcedure, Unifier) - Constructor for class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- FOLKnowledgeBaseFactory - Class in aima.core.logic.fol.kb
-
- FOLKnowledgeBaseFactory() - Constructor for class aima.core.logic.fol.kb.FOLKnowledgeBaseFactory
-
- FOLLexer - Class in aima.core.logic.fol.parsing
-
- FOLLexer(FOLDomain) - Constructor for class aima.core.logic.fol.parsing.FOLLexer
-
- FOLModelElimination - Class in aima.core.logic.fol.inference
-
- FOLModelElimination() - Constructor for class aima.core.logic.fol.inference.FOLModelElimination
-
- FOLModelElimination(long) - Constructor for class aima.core.logic.fol.inference.FOLModelElimination
-
- FOLModelElimination(FOLModelEliminationTracer) - Constructor for class aima.core.logic.fol.inference.FOLModelElimination
-
- FOLModelElimination(FOLModelEliminationTracer, long) - Constructor for class aima.core.logic.fol.inference.FOLModelElimination
-
- FOLModelEliminationTracer - Interface in aima.core.logic.fol.inference.trace
-
- FOLNode - Interface in aima.core.logic.fol.parsing.ast
-
- FOLOTTERLikeTheoremProver - Class in aima.core.logic.fol.inference
-
Artificial Intelligence A Modern Approach (2nd Edition): Figure 9.14, page
307.
- FOLOTTERLikeTheoremProver() - Constructor for class aima.core.logic.fol.inference.FOLOTTERLikeTheoremProver
-
- FOLOTTERLikeTheoremProver(long) - Constructor for class aima.core.logic.fol.inference.FOLOTTERLikeTheoremProver
-
- FOLOTTERLikeTheoremProver(boolean) - Constructor for class aima.core.logic.fol.inference.FOLOTTERLikeTheoremProver
-
- FOLOTTERLikeTheoremProver(long, boolean) - Constructor for class aima.core.logic.fol.inference.FOLOTTERLikeTheoremProver
-
- FOLParser - Class in aima.core.logic.fol.parsing
-
- FOLParser(FOLLexer) - Constructor for class aima.core.logic.fol.parsing.FOLParser
-
- FOLParser(FOLDomain) - Constructor for class aima.core.logic.fol.parsing.FOLParser
-
- FOLTFMResolution - Class in aima.core.logic.fol.inference
-
Artificial Intelligence A Modern Approach (3rd Edition): page 347.
The algorithmic approach is identical to the propositional case, described in
Figure 7.12.
However, this implementation will use the T)wo F)inger M)ethod for looking
for resolvents between clauses, which is very inefficient.
see:
http://logic.stanford.edu/classes/cs157/2008/lectures/lecture04.pdf,
slide 21 for the propositional case.
- FOLTFMResolution() - Constructor for class aima.core.logic.fol.inference.FOLTFMResolution
-
- FOLTFMResolution(long) - Constructor for class aima.core.logic.fol.inference.FOLTFMResolution
-
- FOLTFMResolution(FOLTFMResolutionTracer) - Constructor for class aima.core.logic.fol.inference.FOLTFMResolution
-
- FOLTFMResolutionTracer - Interface in aima.core.logic.fol.inference.trace
-
- FOLVisitor - Interface in aima.core.logic.fol.parsing
-
- FORALL - Static variable in class aima.core.logic.fol.Quantifiers
-
- formulateGoal() - Method in class aima.core.environment.map.MapAgent
-
- formulateGoal() - Method in class aima.core.environment.map.SimpleMapAgent
-
- formulateGoal() - Method in class aima.core.search.framework.ProblemSolvingAgent
-
Primitive operation, responsible for goal generation.
- formulateGoal() - Method in class aima.core.search.framework.SimpleProblemSolvingAgent
-
- formulateProblem(Object) - Method in class aima.core.environment.map.MapAgent
-
- formulateProblem(Object) - Method in class aima.core.environment.map.SimpleMapAgent
-
- formulateProblem(Object) - Method in class aima.core.search.framework.ProblemSolvingAgent
-
Primitive operation, responsible for search problem generation.
- formulateProblem(Object) - Method in class aima.core.search.framework.SimpleProblemSolvingAgent
-
- Forward - Class in aima.core.environment.wumpusworld.action
-
Artificial Intelligence A Modern Approach (3rd Edition): page 237.
The agent can move Forward.
- Forward(AgentPosition) - Constructor for class aima.core.environment.wumpusworld.action.Forward
-
Constructor.
- forward(Matrix, Matrix) - Method in class aima.core.probability.hmm.exact.FixedLagSmoothing
-
The forward equation (15.5) in Matrix form becomes (15.12):
- forward(CategoricalDistribution, List<AssignmentProposition>) - Method in class aima.core.probability.hmm.exact.HMMForwardBackward
-
- forward(Matrix, Matrix) - Method in class aima.core.probability.hmm.exact.HMMForwardBackward
-
The forward equation (15.5) in Matrix form becomes (15.12):
- forward(CategoricalDistribution, List<AssignmentProposition>) - Method in interface aima.core.probability.temporal.ForwardStepInference
-
The FORWARD operator is defined by Equation (15.5).
- forward(CategoricalDistribution, List<AssignmentProposition>) - Method in class aima.core.probability.temporal.generic.ForwardBackward
-
- FORWARD_ACTION_NAME - Static variable in class aima.core.environment.wumpusworld.action.Forward
-
- forwardBackward(List<List<AssignmentProposition>>, CategoricalDistribution) - Method in class aima.core.probability.hmm.exact.HMMForwardBackward
-
- forwardBackward(List<List<AssignmentProposition>>, CategoricalDistribution) - Method in class aima.core.probability.hmm.exact.HMMForwardBackwardConstantSpace
-
- forwardBackward(List<List<AssignmentProposition>>, CategoricalDistribution) - Method in interface aima.core.probability.temporal.ForwardBackwardInference
-
The forward-backward algorithm for smoothing: computing posterior
probabilities of a sequence of states given a sequence of observations.
- ForwardBackward - Class in aima.core.probability.temporal.generic
-
Artificial Intelligence A Modern Approach (3rd Edition): page 576.
- ForwardBackward(FiniteProbabilityModel, Map<RandomVariable, RandomVariable>, FiniteProbabilityModel) - Constructor for class aima.core.probability.temporal.generic.ForwardBackward
-
Instantiate an instance of the Forward Backward algorithm.
- forwardBackward(List<List<AssignmentProposition>>, CategoricalDistribution) - Method in class aima.core.probability.temporal.generic.ForwardBackward
-
- ForwardBackwardInference - Interface in aima.core.probability.temporal
-
Artificial Intelligence A Modern Approach (3rd Edition): page 576.
Generic interface for calling different implementations of the
forward-backward algorithm for smoothing: computing posterior probabilities
of a sequence of states given a sequence of observations.
- forwardRecover(Matrix, Matrix) - Method in class aima.core.probability.hmm.exact.HMMForwardBackwardConstantSpace
-
Calculate:
- ForwardStepInference - Interface in aima.core.probability.temporal
-
* The FORWARD operator is defined by Equation (15.5).
- FrequencyCounter<T> - Class in aima.core.util
-
A utility class for keeping counts of objects.
- FrequencyCounter() - Constructor for class aima.core.util.FrequencyCounter
-
Default Constructor.
- fromFile(String, DataSetSpecification, String) - Method in class aima.core.learning.framework.DataSetFactory
-
- frontier - Variable in class aima.core.search.framework.qsearch.QueueSearch
-
- FullCPTNode - Class in aima.core.probability.bayes.impl
-
Default implementation of the FiniteNode interface that uses a fully
specified Conditional Probability Table to represent the Node's conditional
distribution.
- FullCPTNode(RandomVariable, double[]) - Constructor for class aima.core.probability.bayes.impl.FullCPTNode
-
- FullCPTNode(RandomVariable, double[], Node...) - Constructor for class aima.core.probability.bayes.impl.FullCPTNode
-
- FullJointDistributionBurglaryAlarmModel - Class in aima.core.probability.example
-
- FullJointDistributionBurglaryAlarmModel() - Constructor for class aima.core.probability.example.FullJointDistributionBurglaryAlarmModel
-
- FullJointDistributionMeningitisStiffNeckModel - Class in aima.core.probability.example
-
- FullJointDistributionMeningitisStiffNeckModel() - Constructor for class aima.core.probability.example.FullJointDistributionMeningitisStiffNeckModel
-
- FullJointDistributionModel - Class in aima.core.probability.full
-
An implementation of the FiniteProbabilityModel API using a full joint
distribution as the underlying model.
- FullJointDistributionModel(double[], RandomVariable...) - Constructor for class aima.core.probability.full.FullJointDistributionModel
-
- FullJointDistributionPairFairDiceModel - Class in aima.core.probability.example
-
- FullJointDistributionPairFairDiceModel() - Constructor for class aima.core.probability.example.FullJointDistributionPairFairDiceModel
-
- FullJointDistributionToothacheCavityCatchModel - Class in aima.core.probability.example
-
- FullJointDistributionToothacheCavityCatchModel() - Constructor for class aima.core.probability.example.FullJointDistributionToothacheCavityCatchModel
-
- FullJointDistributionToothacheCavityCatchWeatherModel - Class in aima.core.probability.example
-
- FullJointDistributionToothacheCavityCatchWeatherModel() - Constructor for class aima.core.probability.example.FullJointDistributionToothacheCavityCatchWeatherModel
-
- FullyObservableVacuumEnvironmentPercept - Interface in aima.core.environment.vacuum
-
Implements a fully observable environment percept, in accordance with page
134, AIMAv3.
- FullyObservableVacuumEnvironmentPerceptToStateFunction - Class in aima.core.environment.vacuum
-
Map fully observable state percepts to their corresponding state
representation.
- FullyObservableVacuumEnvironmentPerceptToStateFunction() - Constructor for class aima.core.environment.vacuum.FullyObservableVacuumEnvironmentPerceptToStateFunction
-
Default Constructor.
- FUNCTION - Static variable in interface aima.core.logic.common.LogicTokenTypes
-
- Function - Class in aima.core.logic.fol.parsing.ast
-
- Function(String, List<Term>) - Constructor for class aima.core.logic.fol.parsing.ast.Function
-
- FunctionApproximator - Interface in aima.core.learning.neural
-
- g(Node) - Method in class aima.core.search.framework.evalfunc.PathCostFunction
-
- Game<STATE,ACTION,PLAYER> - Interface in aima.core.search.adversarial
-
Artificial Intelligence A Modern Approach (3rd Edition): page 165.
A game can be formally defined as a kind of search problem with the following
elements:
S0: The initial state, which specifies how the game is set up at the
start.
PLAYER(s): Defines which player has the move in a state.
ACTIONS(s): Returns the set of legal moves in a state.
RESULT(s, a): The transition model, which defines the result of a move.
TERMINAL-TEST(s): A terminal test, which is true when the game is over
and false TERMINAL STATES otherwise.
- game - Variable in class aima.core.search.adversarial.IterativeDeepeningAlphaBetaSearch
-
- generateCloud(int) - Method in class aima.core.robotics.MonteCarloLocalization
-
This method is the initialization phase of the algorithm.
- generateNoise() - Method in interface aima.core.robotics.datatypes.IMclMove
-
Generates noise onto the move to mask errors in measuring the performed movements and to localize successfully with a smaller number of particles than without noise.
- generateRandomDoubleBetween(double, double) - Static method in class aima.core.util.Util
-
Generates a random double between two limits.
- generateRandomFloatBetween(float, float) - Static method in class aima.core.util.Util
-
Generates a random float between two limits.
- generateRandomIndividual(int) - Static method in class aima.core.environment.nqueens.NQueensGenAlgoUtil
-
- GenericTemporalModelFactory - Class in aima.core.probability.example
-
- GenericTemporalModelFactory() - Constructor for class aima.core.probability.example.GenericTemporalModelFactory
-
- GeneticAlgorithm<A> - Class in aima.core.search.local
-
Artificial Intelligence A Modern Approach (3rd Edition): Figure 4.8, page
129.
- GeneticAlgorithm(int, Collection<A>, double) - Constructor for class aima.core.search.local.GeneticAlgorithm
-
- GeneticAlgorithm(int, Collection<A>, double, Random) - Constructor for class aima.core.search.local.GeneticAlgorithm
-
- geneticAlgorithm(Collection<Individual<A>>, FitnessFunction<A>, int) - Method in class aima.core.search.local.GeneticAlgorithm
-
Starts the genetic algorithm and stops after a specified number of
iterations.
- geneticAlgorithm(Collection<Individual<A>>, FitnessFunction<A>, GoalTest, long) - Method in class aima.core.search.local.GeneticAlgorithm
-
Template method controlling search.
- GeneticAlgorithm.ProgressTracer<A> - Interface in aima.core.search.local
-
Interface for progress tracers.
- GeneticAlgorithmForNumbers - Class in aima.core.search.local
-
Variant of the genetic algorithm which uses double numbers from a fixed
interval instead of symbols from a finite alphabet in the representations of
individuals.
- GeneticAlgorithmForNumbers(int, double, double, double) - Constructor for class aima.core.search.local.GeneticAlgorithmForNumbers
-
Constructor.
- GERALDTON - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfAustralia
-
- get(String) - Static method in enum aima.core.logic.propositional.parsing.ast.Connective
-
Get the connective associated with the given symbolic representation.
- get(int) - Method in class aima.core.search.csp.Domain
-
- get(String) - Method in class aima.core.search.framework.Metrics
-
- get(VertexLabelType, VertexLabelType) - Method in class aima.core.util.datastructure.LabeledGraph
-
Returns the label of the edge between the specified vertices, or null if
there is no edge between them.
- get(RowHeaderType, ColumnHeaderType) - Method in class aima.core.util.datastructure.Table
-
Returns the value to which the specified row and column is mapped in this
table.
- get(K1, K2) - Method in class aima.core.util.datastructure.TwoKeyHashMap
-
Returns the value to which the specified key pair is mapped in this two
key hash map, or null if the map contains no mapping for
this key pair.
- get(int, int) - Method in class aima.core.util.math.Matrix
-
Get a single element.
- getAction() - Method in class aima.core.agent.impl.aprog.simplerule.Rule
-
Returns the action of this condition-action rule.
- getAction() - Method in class aima.core.environment.connectfour.ActionValuePair
-
- getAction() - Method in class aima.core.search.framework.Node
-
Returns the action that was applied to the parent to generate the node.
- getActions(ConnectFourState) - Method in class aima.core.environment.connectfour.ConnectFourGame
-
- getActions(TicTacToeState) - Method in class aima.core.environment.tictactoe.TicTacToeGame
-
- getActions(STATE) - Method in interface aima.core.search.adversarial.Game
-
- getActions() - Method in class aima.core.search.framework.SearchAgent
-
- getActionsFunction() - Static method in class aima.core.environment.eightpuzzle.EightPuzzleFunctionFactory
-
- getActionsFunction(Map) - Static method in class aima.core.environment.map.MapFunctionFactory
-
- getActionsFunction(WumpusCave) - Static method in class aima.core.environment.wumpusworld.WumpusFunctionFactory
-
- getActionsFunction() - Method in class aima.core.search.framework.problem.Problem
-
Returns the description of the possible actions available to the agent.
- getActionsFunction() - Method in class aima.core.search.nondeterministic.NondeterministicProblem
-
Returns the description of the possible actions available to the agent.
- getActionsFunction() - Method in class aima.core.search.online.OnlineSearchProblem
-
Returns the action function of this online search problem.
- getActivationFunction() - Method in class aima.core.learning.neural.Layer
-
- getAdaptee() - Method in class aima.core.probability.bayes.approx.BayesInferenceApproxAdapter
-
- getAgentLocation(Agent) - Method in class aima.core.environment.map.MapEnvironment
-
- getAgentLocation(Agent) - Method in class aima.core.environment.map.MapEnvironmentState
-
- getAgentLocation(Agent) - Method in interface aima.core.environment.vacuum.FullyObservableVacuumEnvironmentPercept
-
Returns the agent location
- getAgentLocation() - Method in class aima.core.environment.vacuum.LocalVacuumEnvironmentPercept
-
Return the agent's perception of the current location, which is either A
or B.
- getAgentLocation(Agent) - Method in class aima.core.environment.vacuum.VacuumEnvironment
-
- getAgentLocation(Agent) - Method in class aima.core.environment.vacuum.VacuumEnvironmentState
-
- getAgentLocation(Agent) - Method in class aima.core.learning.reinforcement.example.CellWorldEnvironmentState
-
Get the location of an agent within the cell world environment.
- getAgentMap() - Method in class aima.core.environment.map.Scenario
-
- getAgents() - Method in interface aima.core.agent.Environment
-
Returns the Agents belonging to this Environment.
- getAgents() - Method in class aima.core.agent.impl.AbstractEnvironment
-
- getAgentTravelDistance(Agent) - Method in class aima.core.environment.map.MapEnvironment
-
- getAgentTravelDistance(Agent) - Method in class aima.core.environment.map.MapEnvironmentState
-
- getAllClauses() - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- getAllDefiniteClauseImplications() - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- getAllDefiniteClauses() - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- getAllTerminalRules() - Method in class aima.core.nlp.parsing.Lexicon
-
- getAngle() - Method in interface aima.core.robotics.datatypes.IMclRangeReading
-
Returns the vector by which the robot was rotated for this range reading.
- getAngle() - Method in class aima.core.robotics.impl.datatypes.AbstractRangeReading
-
- getAngle() - Method in class aima.core.util.math.geom.shapes.Ellipse2D
-
- getAnswerBindings() - Method in interface aima.core.logic.fol.inference.proof.Proof
-
- getAnswerBindings() - Method in class aima.core.logic.fol.inference.proof.ProofFinal
-
- getAnswerLiteralNameName() - Method in class aima.core.logic.fol.domain.FOLDomainAnswerLiteralAddedEvent
-
- getAreaBoundaries() - Method in class aima.core.robotics.impl.map.MclCartesianPlot2D
-
Returns an iterator over the boundaries of the area polygons.
- getAreas() - Method in class aima.core.robotics.impl.map.MclCartesianPlot2D
-
Returns an iterator over the area polygons.
- getArgs() - Method in interface aima.core.logic.fol.parsing.ast.AtomicSentence
-
- getArgs() - Method in class aima.core.logic.fol.parsing.ast.ConnectedSentence
-
- getArgs() - Method in class aima.core.logic.fol.parsing.ast.Constant
-
- getArgs() - Method in interface aima.core.logic.fol.parsing.ast.FOLNode
-
- getArgs() - Method in class aima.core.logic.fol.parsing.ast.Function
-
- getArgs() - Method in class aima.core.logic.fol.parsing.ast.NotSentence
-
- getArgs() - Method in class aima.core.logic.fol.parsing.ast.Predicate
-
- getArgs() - Method in class aima.core.logic.fol.parsing.ast.QuantifiedSentence
-
- getArgs() - Method in interface aima.core.logic.fol.parsing.ast.Term
-
- getArgs() - Method in class aima.core.logic.fol.parsing.ast.TermEquality
-
- getArgs() - Method in class aima.core.logic.fol.parsing.ast.Variable
-
- getArgumentVariables() - Method in interface aima.core.probability.Factor
-
- getArgumentVariables() - Method in class aima.core.probability.util.ProbabilityTable
-
- getArray() - Method in class aima.core.util.math.Matrix
-
Access the internal two-dimensional array.
- getArrayCopy() - Method in class aima.core.util.math.Matrix
-
Copy the internal two-dimensional array.
- getAssignedSymbols() - Method in class aima.core.logic.propositional.kb.data.Model
-
- getAssignment(Variable) - Method in class aima.core.search.csp.Assignment
-
- getAtomicSentence() - Method in class aima.core.logic.fol.kb.data.Literal
-
- getAtomicSentence() - Method in class aima.core.logic.propositional.kb.data.Literal
-
- getAttribute(Object) - Method in class aima.core.agent.impl.ObjectWithDynamicAttributes
-
Returns the value of the specified attribute key, or null if the
attribute was not found.
- getAttributeName() - Method in interface aima.core.learning.framework.AttributeSpecification
-
- getAttributeName() - Method in class aima.core.learning.framework.NumericAttributeSpecification
-
- getAttributeName() - Method in class aima.core.learning.framework.StringAttributeSpecification
-
- getAttributeName() - Method in class aima.core.learning.inductive.DecisionTree
-
- getAttributeNames() - Method in class aima.core.learning.framework.DataSet
-
- getAttributeNames() - Method in class aima.core.learning.framework.DataSetSpecification
-
- getAttributeSpecFor(String) - Method in class aima.core.learning.framework.DataSetSpecification
-
- getAttributeValueAsDouble(String) - Method in class aima.core.learning.framework.Example
-
- getAttributeValueAsString(String) - Method in class aima.core.learning.framework.Example
-
- getAveDelta(double[], double[]) - Method in class aima.core.nlp.ranking.HITS
-
Determine how much values in a list are changing.
- getBayesInference() - Method in class aima.core.probability.bayes.model.FiniteBayesModel
-
- getBiasVector() - Method in class aima.core.learning.neural.Layer
-
- getBindings() - Method in class aima.core.logic.fol.inference.proof.ProofStepBwChGoal
-
- getBoardForIndividual(Individual<Integer>) - Static method in class aima.core.environment.nqueens.NQueensGenAlgoUtil
-
- getBoardPic() - Method in class aima.core.environment.nqueens.NQueensBoard
-
- getBoundaries() - Method in class aima.core.util.math.geom.CartesianPlot2D
-
- getBounds() - Method in class aima.core.util.math.geom.shapes.Circle2D
-
- getBounds() - Method in class aima.core.util.math.geom.shapes.Ellipse2D
-
- getBounds() - Method in interface aima.core.util.math.geom.shapes.IGeometric2D
-
Gets the boundaries of this geometric shape as a
Rect2D.
- getBounds() - Method in class aima.core.util.math.geom.shapes.Line2D
-
- getBounds() - Method in class aima.core.util.math.geom.shapes.Polyline2D
-
- getBounds() - Method in class aima.core.util.math.geom.shapes.Rect2D
-
- getCActionsFunction() - Static method in class aima.core.environment.nqueens.NQueensFunctionFactory
-
Returns an ACTIONS function for the complete-state formulation of the
n-queens problem.
- getCaveXDimension() - Method in class aima.core.environment.wumpusworld.WumpusCave
-
- getCaveXDimension() - Method in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- getCaveYDimension() - Method in class aima.core.environment.wumpusworld.WumpusCave
-
- getCaveYDimension() - Method in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- getCell() - Method in class aima.core.learning.reinforcement.example.CellWorldPercept
-
- getCellAt(int, int) - Method in class aima.core.environment.cellworld.CellWorld
-
Get the cell at the specified x and y locations.
- getCells() - Method in class aima.core.environment.cellworld.CellWorld
-
- getCenter() - Method in class aima.core.util.math.geom.shapes.Circle2D
-
- getCenter() - Method in class aima.core.util.math.geom.shapes.Ellipse2D
-
- getChildren() - Method in class aima.core.probability.bayes.impl.AbstractNode
-
- getChildren() - Method in interface aima.core.probability.bayes.Node
-
- getClassification() - Method in class aima.core.learning.knowledge.FOLExample
-
- getClauseFilter() - Method in class aima.core.logic.fol.inference.FOLOTTERLikeTheoremProver
-
- getClauses() - Method in class aima.core.logic.propositional.kb.data.ConjunctionOfClauses
-
- getClausesFrom(Sentence...) - Static method in class aima.core.logic.propositional.visitors.ClauseCollector
-
Collect a set of clauses from a list of given sentences.
- getClauseSimplifier() - Method in class aima.core.logic.fol.inference.FOLOTTERLikeTheoremProver
-
- getCols() - Method in class aima.core.environment.connectfour.ConnectFourState
-
- getColumnDimension() - Method in class aima.core.util.math.Matrix
-
Get column dimension.
- getColumnPackedCopy() - Method in class aima.core.util.math.Matrix
-
Make a one-dimensional column packed copy of the internal array.
- getComparator() - Method in class aima.core.search.framework.PrioritySearch
-
- getConditioningCase(Object...) - Method in interface aima.core.probability.bayes.ConditionalProbabilityDistribution
-
A conditioning case is just a possible combination of values for the
parent nodes - a miniature possible world, if you like.
- getConditioningCase(AssignmentProposition...) - Method in interface aima.core.probability.bayes.ConditionalProbabilityDistribution
-
A conditioning case is just a possible combination of values for the
parent nodes - a miniature possible world, if you like.
- getConditioningCase(Object...) - Method in interface aima.core.probability.bayes.ConditionalProbabilityTable
-
- getConditioningCase(AssignmentProposition...) - Method in interface aima.core.probability.bayes.ConditionalProbabilityTable
-
- getConditioningCase(Object...) - Method in class aima.core.probability.bayes.impl.CPT
-
- getConditioningCase(AssignmentProposition...) - Method in class aima.core.probability.bayes.impl.CPT
-
- getConjunctionOfClauses() - Method in class aima.core.logic.fol.kb.data.CNF
-
- getConnective() - Method in class aima.core.logic.propositional.parsing.ast.ComplexSentence
-
- getConnective() - Method in class aima.core.logic.propositional.parsing.ast.Sentence
-
- getConnector() - Method in class aima.core.logic.fol.parsing.ast.ConnectedSentence
-
- getConstants() - Method in class aima.core.logic.fol.domain.FOLDomain
-
- getConstraints() - Method in class aima.core.search.csp.CSP
-
- getConstraints(Variable) - Method in class aima.core.search.csp.CSP
-
Returns all constraints in which the specified variable participates.
- getContent() - Method in class aima.core.environment.cellworld.Cell
-
- getContent() - Method in class aima.core.nlp.ranking.Page
-
- getContingencyPlan() - Method in class aima.core.environment.vacuum.NondeterministicVacuumAgent
-
Return the agent contingency plan
- getContrapositives() - Method in class aima.core.logic.fol.kb.data.Chain
-
A contrapositive of a chain is a permutation in which a different literal
is placed at the front.
- getCount(T) - Method in class aima.core.util.FrequencyCounter
-
Returns the count to which the specified key is mapped in this frequency
counter, or 0 if the map contains no mapping for this key.
- getCPD() - Method in class aima.core.probability.bayes.impl.AbstractNode
-
- getCPD() - Method in class aima.core.probability.bayes.impl.FullCPTNode
-
- getCPD() - Method in interface aima.core.probability.bayes.Node
-
- getCPT() - Method in interface aima.core.probability.bayes.FiniteNode
-
- getCPT() - Method in class aima.core.probability.bayes.impl.FullCPTNode
-
- getCurrentLocationFor(EnvironmentObject) - Method in class aima.core.environment.xyenv.XYEnvironment
-
- getCurrentNumeralValue(int) - Method in class aima.core.util.math.MixedRadixNumber
-
Returns the numeral at the specified position.
- getCurrentPositionInInput() - Method in class aima.core.logic.common.Lexer
-
- getCurrentPositionInInputExceptionThrown() - Method in exception aima.core.logic.common.LexerException
-
- getCurrentState() - Method in class aima.core.environment.vacuum.VacuumEnvironment
-
- getCurrentValueFor(int[]) - Method in class aima.core.util.math.MixedRadixNumber
-
Returns the value of the mixed radix number with the specified array of
numerals and the current array of radices.
- getDataSetTargetName() - Method in class aima.core.learning.knowledge.FOLDataSetDomain
-
- getDecisionList() - Method in class aima.core.learning.learners.DecisionListLearner
-
Returns the decision list of this decision list learner
- getDecisionTree() - Method in class aima.core.learning.learners.DecisionTreeLearner
-
Returns the decision tree of this decision tree learner
- getDegreeValue() - Method in class aima.core.robotics.impl.datatypes.Angle
-
- getDerivedName() - Method in class aima.core.probability.proposition.AbstractDerivedProposition
-
- getDerivedName() - Method in interface aima.core.probability.proposition.DerivedProposition
-
- getDescendants() - Method in class aima.core.search.local.Individual
-
Returns the number of descendants for this individual.
- getDescription() - Method in class aima.core.learning.knowledge.FOLExample
-
- getDescriptionDataSetNames() - Method in class aima.core.learning.knowledge.FOLDataSetDomain
-
- getDescriptionPredicateNames() - Method in class aima.core.learning.knowledge.FOLDataSetDomain
-
- getDirection() - Method in class aima.core.util.math.geom.shapes.Line2D
-
- getDirection() - Method in class aima.core.util.math.geom.shapes.Ray2D
-
- getDisjointSets() - Method in class aima.core.util.DisjointSets
-
- getDistance(String, String) - Method in class aima.core.environment.map.ExtendableMap
-
Returns the travel distance between the two specified locations if they
are linked by a connection and null otherwise.
- getDistance(String, String) - Method in interface aima.core.environment.map.Map
-
Returns the travel distance between the two specified locations if they
are linked by a connection and null otherwise.
- getDomain() - Method in interface aima.core.probability.RandomVariable
-
- getDomain() - Method in class aima.core.probability.util.RandVar
-
- getDomain(Variable) - Method in class aima.core.search.csp.CSP
-
- getDouble(String) - Method in class aima.core.search.framework.Metrics
-
- getDoublePivot() - Method in class aima.core.util.math.LUDecomposition
-
Return pivot permutation vector as a one-dimensional double array
- getE_1() - Method in interface aima.core.probability.bayes.DynamicBayesianNetwork
-
- getE_1() - Method in class aima.core.probability.bayes.impl.DynamicBayesNet
-
- getEdges() - Method in class aima.core.util.math.geom.shapes.Polyline2D
-
- getElementToDisjointSet() - Method in class aima.core.util.DisjointSets
-
- getEnd() - Method in class aima.core.util.math.geom.shapes.Line2D
-
- getEnv() - Method in class aima.core.environment.map.Scenario
-
- getEnvironmentObjects() - Method in interface aima.core.agent.Environment
-
Returns the EnvironmentObjects that exist in this Environment.
- getEnvironmentObjects() - Method in class aima.core.agent.impl.AbstractEnvironment
-
- getEnvMap() - Method in class aima.core.environment.map.Scenario
-
- getEqualityIdentity() - Method in class aima.core.logic.fol.kb.data.Clause
-
- getEqualitySynbol() - Static method in class aima.core.logic.fol.parsing.ast.TermEquality
-
- getEvaluationFunction() - Method in class aima.core.search.informed.BestFirstSearch
-
- getEvaluationFunction() - Method in class aima.core.search.informed.RecursiveBestFirstSearch
-
- getEventValuesForParents(Node, Map<RandomVariable, Object>) - Static method in class aima.core.probability.util.ProbUtil
-
Get the parent values for the Random Variable Xi from the provided event.
- getEventValuesForXiGivenParents(Node, Map<RandomVariable, Object>) - Static method in class aima.core.probability.util.ProbUtil
-
Get the values for the Random Variable Xi's parents and its own value
from the provided event.
- getEventValuesForXiGivenParents(Node, Object, Map<RandomVariable, Object>) - Static method in class aima.core.probability.util.ProbUtil
-
Get the values for the Random Variable Xi's parents and its own value
from the provided event.
- getEvidence(List<AssignmentProposition>) - Method in interface aima.core.probability.hmm.HiddenMarkovModel
-
Get the specific evidence matrix based on assigned evidence value.
- getEvidence(List<AssignmentProposition>) - Method in class aima.core.probability.hmm.impl.HMM
-
- getExample(int) - Method in class aima.core.learning.framework.DataSet
-
- getExample(int) - Method in class aima.core.learning.neural.NNDataSet
-
- getExampleAtRandom() - Method in class aima.core.learning.neural.NNDataSet
-
- getExampleConstant(int) - Method in class aima.core.learning.knowledge.FOLDataSetDomain
-
- getExampleNumber() - Method in class aima.core.learning.knowledge.FOLExample
-
- getFactorFor(AssignmentProposition...) - Method in interface aima.core.probability.bayes.ConditionalProbabilityTable
-
Construct a Factor consisting of the Random Variables from the
Conditional Probability Table that are not part of the evidence (see
AIMA3e pg.
- getFactorFor(AssignmentProposition...) - Method in class aima.core.probability.bayes.impl.CPT
-
- getFactors() - Method in class aima.core.logic.fol.kb.data.Clause
-
- getFiniteAlphabetForBoardOfSize(int) - Static method in class aima.core.environment.nqueens.NQueensGenAlgoUtil
-
- getFirst() - Method in class aima.core.logic.fol.parsing.ast.ConnectedSentence
-
- getFirst() - Method in class aima.core.util.datastructure.Pair
-
Returns the first element of the pair
- getFirst() - Method in class aima.core.util.datastructure.Triplet
-
Returns the first element of the triplet.
- getFirstRightAngledAction() - Method in enum aima.core.environment.cellworld.CellWorldAction
-
- getFitnessFunction() - Static method in class aima.core.environment.nqueens.NQueensGenAlgoUtil
-
- getFOLDomain() - Method in class aima.core.logic.fol.parsing.FOLLexer
-
- getFOLDomain() - Method in class aima.core.logic.fol.parsing.FOLParser
-
- getFOLName(String) - Method in class aima.core.learning.knowledge.FOLDataSetDomain
-
- getFor() - Method in interface aima.core.probability.bayes.ConditionalProbabilityDistribution
-
A convenience method for merging the elements of getParents() and getOn()
into a consistent ordered set (i.e.
- getFor() - Method in class aima.core.probability.bayes.impl.CPT
-
- getFor() - Method in interface aima.core.probability.ProbabilityDistribution
-
- getFor() - Method in class aima.core.probability.util.ProbabilityTable
-
- getForwardSubstitution() - Method in class aima.core.logic.fol.StandardizeApartResult
-
- getFunctionName() - Method in class aima.core.logic.fol.parsing.ast.Function
-
- getFunctions() - Method in class aima.core.logic.fol.domain.FOLDomain
-
- getGoalPredicateName() - Method in class aima.core.learning.knowledge.FOLDataSetDomain
-
- getGoalTest() - Static method in class aima.core.environment.nqueens.NQueensGenAlgoUtil
-
- getGoalTest() - Method in class aima.core.search.framework.problem.Problem
-
Returns the goal test.
- getGoalTest() - Method in class aima.core.search.nondeterministic.NondeterministicProblem
-
Returns the goal test.
- getHead() - Method in class aima.core.logic.fol.kb.data.Chain
-
- getHeading() - Method in interface aima.core.robotics.impl.datatypes.IPose2D
-
- getHeuristicFunction() - Method in class aima.core.search.informed.HeuristicEvaluationFunction
-
- getHeuristicFunction() - Method in class aima.core.search.online.LRTAStarAgent
-
Returns the heuristic function of this agent.
- getHiddenLayer() - Method in class aima.core.learning.neural.FeedForwardNeuralNetwork
-
- getHiddenLayerBias() - Method in class aima.core.learning.neural.FeedForwardNeuralNetwork
-
- getHiddenLayerWeights() - Method in class aima.core.learning.neural.FeedForwardNeuralNetwork
-
- getHorizontalLength() - Method in class aima.core.util.math.geom.shapes.Ellipse2D
-
- getHypothesis() - Method in class aima.core.learning.knowledge.Hypothesis
-
FORALL v (Classification(v) <=> ((Description1(v) AND Description2(v, Constant1))
OR
(Description1(v) AND Description3(v))
)
)
- getIActionsFunction() - Static method in class aima.core.environment.nqueens.NQueensFunctionFactory
-
Returns an ACTIONS function for the incremental formulation of the
n-queens problem.
- getIndex(Object...) - Method in interface aima.core.probability.CategoricalDistribution
-
Retrieve the index into the CategoricalDistribution for the provided set
of values for the random variables comprising the Distribution.
- getIndex(Object...) - Method in class aima.core.probability.util.ProbabilityTable
-
- getIndexedValue() - Method in class aima.core.logic.fol.parsing.ast.Variable
-
- getIndexical() - Method in class aima.core.logic.fol.parsing.ast.Variable
-
- getInferenceProcedure() - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- getInformationFor() - Method in class aima.core.learning.framework.DataSet
-
- getInitAgentLocation() - Method in class aima.core.environment.map.Scenario
-
- getInitialState() - Method in class aima.core.environment.connectfour.ConnectFourGame
-
- getInitialState() - Method in class aima.core.environment.tictactoe.TicTacToeGame
-
- getInitialState() - Method in class aima.core.probability.mdp.impl.MDP
-
- getInitialState() - Method in interface aima.core.probability.mdp.MarkovDecisionProcess
-
Get the initial state s0 for this instance of a Markov
decision process.
- getInitialState() - Method in interface aima.core.search.adversarial.Game
-
- getInitialState() - Method in class aima.core.search.framework.problem.Problem
-
Returns the initial state of the agent.
- getInitialState() - Method in class aima.core.search.nondeterministic.NondeterministicProblem
-
Returns the initial state of the agent.
- getInlinks(Page, Map<String, Page>) - Method in interface aima.core.nlp.ranking.LinkFinder
-
Take a Page object and return its inlinks (who links to it) as a list of
strings.
- getInlinks() - Method in class aima.core.nlp.ranking.Page
-
- getInlinks(Page, Map<String, Page>) - Method in class aima.core.nlp.ranking.WikiLinkFinder
-
- getInput() - Method in class aima.core.learning.neural.NNExample
-
- getInstrumentation() - Method in class aima.core.search.framework.SearchAgent
-
- getInt(String) - Method in class aima.core.search.framework.Metrics
-
- getIrisDataSet() - Static method in class aima.core.learning.framework.DataSetFactory
-
- getIterations() - Method in class aima.core.search.local.GeneticAlgorithm
-
Returns the number of iterations of the genetic algorithm.
- getJustification() - Method in class aima.core.logic.fol.inference.proof.AbstractProofStep
-
- getJustification() - Method in interface aima.core.logic.fol.inference.proof.ProofStep
-
- getJustification() - Method in class aima.core.logic.fol.inference.proof.ProofStepBwChGoal
-
- getJustification() - Method in class aima.core.logic.fol.inference.proof.ProofStepChainCancellation
-
- getJustification() - Method in class aima.core.logic.fol.inference.proof.ProofStepChainContrapositive
-
- getJustification() - Method in class aima.core.logic.fol.inference.proof.ProofStepChainDropped
-
- getJustification() - Method in class aima.core.logic.fol.inference.proof.ProofStepChainFromClause
-
- getJustification() - Method in class aima.core.logic.fol.inference.proof.ProofStepChainReduction
-
- getJustification() - Method in class aima.core.logic.fol.inference.proof.ProofStepClauseBinaryResolvent
-
- getJustification() - Method in class aima.core.logic.fol.inference.proof.ProofStepClauseClausifySentence
-
- getJustification() - Method in class aima.core.logic.fol.inference.proof.ProofStepClauseDemodulation
-
- getJustification() - Method in class aima.core.logic.fol.inference.proof.ProofStepClauseFactor
-
- getJustification() - Method in class aima.core.logic.fol.inference.proof.ProofStepClauseParamodulation
-
- getJustification() - Method in class aima.core.logic.fol.inference.proof.ProofStepFoChAlreadyAFact
-
- getJustification() - Method in class aima.core.logic.fol.inference.proof.ProofStepFoChAssertFact
-
- getJustification() - Method in class aima.core.logic.fol.inference.proof.ProofStepGoal
-
- getJustification() - Method in class aima.core.logic.fol.inference.proof.ProofStepPremise
-
- getJustification() - Method in class aima.core.logic.fol.inference.proof.ProofStepRenaming
-
- getKeySet() - Method in class aima.core.agent.impl.ObjectWithDynamicAttributes
-
Returns an unmodifiable view of the object's key set
- getL() - Method in class aima.core.util.math.LUDecomposition
-
Return lower triangular factor
- getLastActivationValues() - Method in class aima.core.learning.neural.Layer
-
- getLastBiasUpdateVector() - Method in class aima.core.learning.neural.Layer
-
- getLastInducedField() - Method in class aima.core.learning.neural.Layer
-
- getLastInputValues() - Method in class aima.core.learning.neural.Layer
-
- getLastSearchState() - Method in class aima.core.search.local.HillClimbingSearch
-
Returns the last state from which the hill climbing search found the
local maximum.
- getLastSearchState() - Method in class aima.core.search.local.SimulatedAnnealingSearch
-
Returns the last state from which the simulated annealing search found a
solution state.
- getLastWeightUpdateMatrix() - Method in class aima.core.learning.neural.Layer
-
- getLayer() - Method in class aima.core.learning.neural.LayerSensitivity
-
- getLexer() - Method in class aima.core.logic.common.Parser
-
- getLexer() - Method in class aima.core.logic.propositional.parsing.PLParser
-
- getLightestClause() - Method in class aima.core.logic.fol.inference.otter.defaultimpl.DefaultLightestClauseHeuristic
-
- getLightestClause() - Method in interface aima.core.logic.fol.inference.otter.LightestClauseHeuristic
-
Get the lightest clause from the SOS
- getLightestClauseHeuristic() - Method in class aima.core.logic.fol.inference.FOLOTTERLikeTheoremProver
-
- getLiterals() - Method in class aima.core.logic.fol.kb.data.Chain
-
- getLiterals() - Method in class aima.core.logic.fol.kb.data.Clause
-
- getLiterals() - Method in class aima.core.logic.propositional.kb.data.Clause
-
- getLocation() - Method in class aima.core.environment.nqueens.QueenAction
-
- getLocation() - Method in class aima.core.nlp.ranking.Page
-
- getLocationOf(int) - Method in class aima.core.environment.eightpuzzle.EightPuzzleBoard
-
- getLocations() - Method in class aima.core.environment.map.ExtendableMap
-
Returns a list of all locations.
- getLocations() - Method in interface aima.core.environment.map.Map
-
Returns a list of all locations.
- getLocations() - Method in class aima.core.environment.vacuum.VacuumEnvironment
-
- getLocationsLinkedTo(AgentPosition) - Method in class aima.core.environment.wumpusworld.WumpusCave
-
- getLocationState(String) - Method in interface aima.core.environment.vacuum.FullyObservableVacuumEnvironmentPercept
-
Returns the location state
- getLocationState() - Method in class aima.core.environment.vacuum.LocalVacuumEnvironmentPercept
-
Return the agent's perception of the current state, which is either
Clean or Dirty.
- getLocationState(String) - Method in class aima.core.environment.vacuum.VacuumEnvironment
-
- getLocationState(String) - Method in class aima.core.environment.vacuum.VacuumEnvironmentState
-
- getLong(String) - Method in class aima.core.search.framework.Metrics
-
- getLower() - Method in class aima.core.util.math.Interval
-
Returns the lower end point of the interval.
- getLowerLeft() - Method in class aima.core.util.math.geom.shapes.Rect2D
-
- getLowerRight() - Method in class aima.core.util.math.geom.shapes.Rect2D
-
- getMap() - Method in class aima.core.environment.map.MapEnvironment
-
- getMarkovBlanket() - Method in class aima.core.probability.bayes.impl.AbstractNode
-
- getMarkovBlanket() - Method in interface aima.core.probability.bayes.Node
-
Get this Node's Markov Blanket:
'A node is conditionally independent of all other nodes in the network,
given its parents, children, and children's parents - that is, given its
MARKOV BLANKET (AIMA3e pg, 517).
- getMatchingSubstitution(Term, AtomicSentence) - Method in class aima.core.logic.fol.inference.AbstractModulation
-
- getMatchingSubstitution() - Method in class aima.core.logic.fol.inference.AbstractModulation.IdentifyCandidateMatchingTerm
-
- getMatchingTerm() - Method in class aima.core.logic.fol.inference.AbstractModulation.IdentifyCandidateMatchingTerm
-
- getMatrix(int, int, int, int) - Method in class aima.core.util.math.Matrix
-
Get a submatrix.
- getMatrix(int[], int[]) - Method in class aima.core.util.math.Matrix
-
Get a submatrix.
- getMatrix(int, int, int[]) - Method in class aima.core.util.math.Matrix
-
Get a submatrix.
- getMatrix(int[], int, int) - Method in class aima.core.util.math.Matrix
-
Get a submatrix.
- getMaxAllowedValue() - Method in class aima.core.util.math.MixedRadixNumber
-
Returns the maximum value which can be represented by the current array
of radices.
- getMaxAuthority(List<Page>) - Method in class aima.core.nlp.ranking.HITS
-
Return from a set of Pages the Page with the greatest Authority value
- getMaxHub(List<Page>) - Method in class aima.core.nlp.ranking.HITS
-
Return from a set of Pages the Page with the greatest Hub value
- getMaxQueryTime() - Method in class aima.core.logic.fol.inference.FOLModelElimination
-
- getMaxQueryTime() - Method in class aima.core.logic.fol.inference.FOLOTTERLikeTheoremProver
-
- getMaxQueryTime() - Method in class aima.core.logic.fol.inference.FOLTFMResolution
-
- getMeans() - Method in class aima.core.learning.neural.NNDataSet
-
- getMetrics() - Method in interface aima.core.search.adversarial.AdversarialSearch
-
Returns all the metrics of the search.
- getMetrics() - Method in class aima.core.search.adversarial.AlphaBetaSearch
-
- getMetrics() - Method in class aima.core.search.adversarial.IterativeDeepeningAlphaBetaSearch
-
Returns some statistic data from the last search.
- getMetrics() - Method in class aima.core.search.adversarial.MinimaxSearch
-
- getMetrics() - Method in class aima.core.search.framework.PrioritySearch
-
- getMetrics() - Method in class aima.core.search.framework.qsearch.QueueSearch
-
Returns all the search metrics.
- getMetrics() - Method in interface aima.core.search.framework.SearchForActions
-
Returns all the metrics of the search.
- getMetrics() - Method in interface aima.core.search.framework.SearchForStates
-
Returns all the metrics of the search.
- getMetrics() - Method in class aima.core.search.informed.RecursiveBestFirstSearch
-
Returns all the search metrics.
- getMetrics() - Method in class aima.core.search.local.GeneticAlgorithm
-
Returns all the metrics of the genetic algorithm.
- getMetrics() - Method in class aima.core.search.local.HillClimbingSearch
-
Returns all the search metrics.
- getMetrics() - Method in class aima.core.search.local.SimulatedAnnealingSearch
-
Returns all the search metrics.
- getMetrics() - Method in class aima.core.search.nondeterministic.AndOrSearch
-
Returns all the metrics of the node expander.
- getMetrics() - Method in class aima.core.search.uninformed.BreadthFirstSearch
-
- getMetrics() - Method in class aima.core.search.uninformed.DepthFirstSearch
-
- getMetrics() - Method in class aima.core.search.uninformed.DepthLimitedSearch
-
Returns all the search metrics.
- getMetrics() - Method in class aima.core.search.uninformed.IterativeDeepeningSearch
-
- getMostProbableDerivation(float[][][], ProbUnrestrictedGrammar) - Method in class aima.core.nlp.parsing.CYK
-
The probability table get's us halfway there, but this method can provide the
derivation chain that most probably derives the words provided to the parser.
- getMoves() - Method in class aima.core.environment.connectfour.ConnectFourState
-
- getN() - Method in class aima.core.probability.bayes.approx.BayesInferenceApproxAdapter
-
- getName() - Method in class aima.core.agent.impl.DynamicAction
-
Returns the value of the name attribute.
- getName() - Method in interface aima.core.probability.RandomVariable
-
- getName() - Method in class aima.core.probability.util.RandVar
-
- getName() - Method in class aima.core.search.csp.Variable
-
- getNamesOfStringAttributes() - Method in class aima.core.learning.framework.DataSetSpecification
-
- getNegated() - Method in class aima.core.logic.fol.parsing.ast.NotSentence
-
- getNegativeLiterals() - Method in class aima.core.logic.fol.kb.data.Clause
-
- getNegativeSymbols() - Method in class aima.core.logic.propositional.kb.data.Clause
-
- getNeighbor(Variable, Constraint) - Method in class aima.core.search.csp.CSP
-
Returns for binary constraints the other variable from the scope.
- getNextIndex() - Method in interface aima.core.logic.fol.StandardizeApartIndexical
-
- getNode(RandomVariable) - Method in interface aima.core.probability.bayes.BayesianNetwork
-
- getNode(RandomVariable) - Method in class aima.core.probability.bayes.impl.BayesNet
-
- getNodeComparator() - Method in class aima.core.search.framework.qsearch.GraphSearchReducedFrontier
-
- getNodeExpander() - Method in class aima.core.search.framework.PrioritySearch
-
- getNodeExpander() - Method in class aima.core.search.framework.qsearch.QueueSearch
-
- getNodeExpander() - Method in interface aima.core.search.framework.SearchForActions
-
Returns the node expander used by the search.
- getNodeExpander() - Method in interface aima.core.search.framework.SearchForStates
-
Returns the node expander used by the search.
- getNodeExpander() - Method in class aima.core.search.informed.RecursiveBestFirstSearch
-
- getNodeExpander() - Method in class aima.core.search.local.HillClimbingSearch
-
- getNodeExpander() - Method in class aima.core.search.local.SimulatedAnnealingSearch
-
- getNodeExpander() - Method in class aima.core.search.uninformed.BreadthFirstSearch
-
- getNodeExpander() - Method in class aima.core.search.uninformed.DepthFirstSearch
-
- getNodeExpander() - Method in class aima.core.search.uninformed.DepthLimitedSearch
-
- getNodeExpander() - Method in class aima.core.search.uninformed.IterativeDeepeningSearch
-
- getNonTargetAttributes() - Method in class aima.core.learning.framework.DataSet
-
- getNonTrivialFactors() - Method in class aima.core.logic.fol.kb.data.Clause
-
- getNormalizedData() - Method in class aima.core.learning.neural.NNDataSet
-
- getNumberFacts() - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- getNumberLiterals() - Method in class aima.core.logic.fol.kb.data.Chain
-
- getNumberLiterals() - Method in class aima.core.logic.fol.kb.data.Clause
-
- getNumberLiterals() - Method in class aima.core.logic.propositional.kb.data.Clause
-
- getNumberNegativeLiterals() - Method in class aima.core.logic.fol.kb.data.Clause
-
- getNumberNegativeLiterals() - Method in class aima.core.logic.propositional.kb.data.Clause
-
- getNumberOfAttackingPairs() - Method in class aima.core.environment.nqueens.NQueensBoard
-
- getNumberOfAttacksOn(XYLocation) - Method in class aima.core.environment.nqueens.NQueensBoard
-
- getNumberOfClauses() - Method in class aima.core.logic.fol.kb.data.CNF
-
- getNumberOfClauses() - Method in class aima.core.logic.propositional.kb.data.ConjunctionOfClauses
-
- getNumberOfMarkedPositions() - Method in class aima.core.environment.tictactoe.TicTacToeState
-
- getNumberOfQueensOnBoard() - Method in class aima.core.environment.nqueens.NQueensBoard
-
- getNumberPositiveLiterals() - Method in class aima.core.logic.fol.kb.data.Clause
-
- getNumberPositiveLiterals() - Method in class aima.core.logic.propositional.kb.data.Clause
-
- getNumberRules() - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- getNumberSimplerSentences() - Method in class aima.core.logic.propositional.parsing.ast.ComplexSentence
-
- getNumberSimplerSentences() - Method in class aima.core.logic.propositional.parsing.ast.Sentence
-
- getNumOfExpandCalls() - Method in class aima.core.search.framework.NodeExpander
-
- getObjectsAt(XYLocation) - Method in class aima.core.environment.xyenv.XYEnvironment
-
- getObjectsNear(Agent, int) - Method in class aima.core.environment.xyenv.XYEnvironment
-
- getObstacleBoundaries() - Method in class aima.core.robotics.impl.map.MclCartesianPlot2D
-
Returns an iterator over the boundaries of the obstacle polygons.
- getObstacles() - Method in class aima.core.robotics.impl.map.MclCartesianPlot2D
-
Returns an iterator over the obstacle polygons.
- getOffset(Object) - Method in class aima.core.probability.domain.AbstractFiniteDomain
-
- getOffset(Object) - Method in interface aima.core.probability.domain.FiniteDomain
-
The possible values for a finite domain are to have a consistent ordering
(whether they are actually ordered by value or not).
- getOn() - Method in interface aima.core.probability.bayes.ConditionalProbabilityDistribution
-
- getOn() - Method in class aima.core.probability.bayes.impl.CPT
-
- getOrientation() - Method in class aima.core.environment.wumpusworld.AgentPosition
-
- getOriginalProblem() - Method in class aima.core.environment.eightpuzzle.BidirectionalEightPuzzleProblem
-
- getOriginalProblem() - Method in class aima.core.environment.map.BidirectionalMapProblem
-
- getOriginalProblem() - Method in interface aima.core.search.framework.problem.BidirectionalProblem
-
- getOriginalSentence() - Method in class aima.core.logic.fol.StandardizeApartResult
-
- getOriginalSentences() - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- getOutcome() - Method in class aima.core.search.local.HillClimbingSearch
-
Returns SOLUTION_FOUND if the local maximum is a goal state, or FAILURE
if the local maximum is not a goal state.
- getOutcome() - Method in class aima.core.search.local.SimulatedAnnealingSearch
-
- getOutlinks(Page) - Method in interface aima.core.nlp.ranking.LinkFinder
-
Take a Page object and return its outlinks as a list of strings.
- getOutlinks() - Method in class aima.core.nlp.ranking.Page
-
- getOutlinks(Page) - Method in class aima.core.nlp.ranking.WikiLinkFinder
-
- getOutputLayer() - Method in class aima.core.learning.neural.FeedForwardNeuralNetwork
-
- getOutputLayerBias() - Method in class aima.core.learning.neural.FeedForwardNeuralNetwork
-
- getOutputLayerWeights() - Method in class aima.core.learning.neural.FeedForwardNeuralNetwork
-
- getPageName(File) - Static method in class aima.core.nlp.ranking.PagesDataset
-
- getParameterAsDouble(String) - Method in class aima.core.learning.neural.NNConfig
-
- getParameterAsInteger(String) - Method in class aima.core.learning.neural.NNConfig
-
- getParent() - Method in class aima.core.search.framework.Node
-
Returns this node's parent node, from which this node was generated.
- getParents() - Method in interface aima.core.probability.bayes.ConditionalProbabilityDistribution
-
- getParents() - Method in class aima.core.probability.bayes.impl.AbstractNode
-
- getParents() - Method in class aima.core.probability.bayes.impl.CPT
-
- getParents() - Method in interface aima.core.probability.bayes.Node
-
- getParser() - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- getPathCost() - Method in class aima.core.search.framework.Node
-
Returns the cost of the path from the initial state to this node as
indicated by the parent pointers.
- getPathFromRoot() - Method in class aima.core.search.framework.Node
-
Returns the path from the root node to this node.
- getPenultimateBiasUpdateVector() - Method in class aima.core.learning.neural.Layer
-
- getPenultimateWeightUpdateMatrix() - Method in class aima.core.learning.neural.Layer
-
- getPerceptFor(Agent) - Method in class aima.core.learning.reinforcement.example.CellWorldEnvironmentState
-
Get a percept for an agent, representing what it senses within the cell
world environment.
- getPerceptSeenBy(Agent) - Method in class aima.core.agent.impl.AbstractEnvironment
-
- getPerceptSeenBy(Agent) - Method in class aima.core.environment.map.MapEnvironment
-
- getPerceptSeenBy(Agent) - Method in class aima.core.environment.vacuum.VacuumEnvironment
-
- getPerceptSeenBy(Agent) - Method in class aima.core.environment.xyenv.XYEnvironment
-
- getPerceptSeenBy(Agent) - Method in class aima.core.learning.reinforcement.example.CellWorldEnvironment
-
- getPerceptToStateFunction() - Static method in class aima.core.environment.map.MapFunctionFactory
-
- getPerceptToStateFunction() - Method in class aima.core.environment.vacuum.NondeterministicVacuumAgent
-
Returns the percept to state function of this agent.
- getPerceptToStateFunction() - Method in class aima.core.search.online.LRTAStarAgent
-
Returns the percept to state function of this agent.
- getPerceptToStateFunction() - Method in class aima.core.search.online.OnlineDFSAgent
-
Returns the percept to state function of this agent.
- getPerformanceMeasure(Agent) - Method in interface aima.core.agent.Environment
-
Retrieve the performance measure associated with an Agent.
- getPerformanceMeasure(Agent) - Method in class aima.core.agent.impl.AbstractEnvironment
-
- getPivot() - Method in class aima.core.util.math.LUDecomposition
-
Return pivot permutation vector
- getPlayer(ConnectFourState) - Method in class aima.core.environment.connectfour.ConnectFourGame
-
- getPlayer(int) - Method in class aima.core.environment.connectfour.ConnectFourGame
-
Returns the player corresponding to the specified player number.
- getPlayer(TicTacToeState) - Method in class aima.core.environment.tictactoe.TicTacToeGame
-
- getPlayer(STATE) - Method in interface aima.core.search.adversarial.Game
-
- getPlayerNum(String) - Method in class aima.core.environment.connectfour.ConnectFourGame
-
Returns the player number corresponding to the specified player.
- getPlayerNum(int, int) - Method in class aima.core.environment.connectfour.ConnectFourState
-
- getPlayers() - Method in class aima.core.environment.connectfour.ConnectFourGame
-
- getPlayers() - Method in class aima.core.environment.tictactoe.TicTacToeGame
-
- getPlayers() - Method in interface aima.core.search.adversarial.Game
-
- getPlayerToMove() - Method in class aima.core.environment.connectfour.ConnectFourState
-
- getPlayerToMove() - Method in class aima.core.environment.tictactoe.TicTacToeState
-
- getPopulationSize() - Method in class aima.core.search.local.GeneticAlgorithm
-
Returns the population size.
- getPose(Point2D) - Method in interface aima.core.robotics.impl.map.IPoseFactory
-
Creates a new instance of {@code
- getPose(Point2D, double) - Method in interface aima.core.robotics.impl.map.IPoseFactory
-
Creates a new instance of {@code
- getPosition(String) - Method in class aima.core.environment.map.ExtendableMap
-
Returns the position of the specified location as with respect to an
orthogonal coordinate system.
- getPosition(String) - Method in interface aima.core.environment.map.Map
-
Returns the position of the specified location.
- getPositions() - Method in class aima.core.environment.eightpuzzle.EightPuzzleBoard
-
- getPositiveLiterals() - Method in class aima.core.logic.fol.kb.data.Clause
-
- getPositiveSymbols() - Method in class aima.core.logic.propositional.kb.data.Clause
-
- getPossibleAttributeValues(String) - Method in class aima.core.learning.framework.DataSet
-
- getPossibleAttributeValues(String) - Method in class aima.core.learning.framework.DataSetSpecification
-
- getPossibleNextLocations(String) - Method in class aima.core.environment.map.ExtendableMap
-
Answers to the question: Where can I get, following one of the
connections starting at the specified location?
- getPossibleNextLocations(String) - Method in interface aima.core.environment.map.Map
-
Answers to the question: Where can I get, following one of the
connections starting at the specified location?
- getPossiblePrevLocations(String) - Method in class aima.core.environment.map.ExtendableMap
-
Answers to the question: From where can I reach a specified location,
following one of the map connections? This implementation just calls
ExtendableMap.getPossibleNextLocations(String) as the underlying graph structure
cannot be traversed efficiently in reverse order.
- getPossiblePrevLocations(String) - Method in interface aima.core.environment.map.Map
-
Answers to the question: From where can I reach a specified location,
following one of the map connections?
- getPossibleValues() - Method in class aima.core.probability.domain.AbstractFiniteDomain
-
- getPossibleValues() - Method in class aima.core.probability.domain.ArbitraryTokenDomain
-
- getPossibleValues() - Method in class aima.core.probability.domain.BooleanDomain
-
- getPossibleValues() - Method in interface aima.core.probability.domain.FiniteDomain
-
- getPossibleValues() - Method in class aima.core.probability.domain.FiniteIntegerDomain
-
- getPrecedence() - Method in enum aima.core.logic.propositional.parsing.ast.Connective
-
- getPredecessorSteps() - Method in class aima.core.logic.fol.inference.proof.AbstractProofStep
-
- getPredecessorSteps() - Method in interface aima.core.logic.fol.inference.proof.ProofStep
-
- getPredecessorSteps() - Method in class aima.core.logic.fol.inference.proof.ProofStepBwChGoal
-
- getPredecessorSteps() - Method in class aima.core.logic.fol.inference.proof.ProofStepChainCancellation
-
- getPredecessorSteps() - Method in class aima.core.logic.fol.inference.proof.ProofStepChainContrapositive
-
- getPredecessorSteps() - Method in class aima.core.logic.fol.inference.proof.ProofStepChainDropped
-
- getPredecessorSteps() - Method in class aima.core.logic.fol.inference.proof.ProofStepChainFromClause
-
- getPredecessorSteps() - Method in class aima.core.logic.fol.inference.proof.ProofStepChainReduction
-
- getPredecessorSteps() - Method in class aima.core.logic.fol.inference.proof.ProofStepClauseBinaryResolvent
-
- getPredecessorSteps() - Method in class aima.core.logic.fol.inference.proof.ProofStepClauseClausifySentence
-
- getPredecessorSteps() - Method in class aima.core.logic.fol.inference.proof.ProofStepClauseDemodulation
-
- getPredecessorSteps() - Method in class aima.core.logic.fol.inference.proof.ProofStepClauseFactor
-
- getPredecessorSteps() - Method in class aima.core.logic.fol.inference.proof.ProofStepClauseParamodulation
-
- getPredecessorSteps() - Method in class aima.core.logic.fol.inference.proof.ProofStepFoChAlreadyAFact
-
- getPredecessorSteps() - Method in class aima.core.logic.fol.inference.proof.ProofStepFoChAssertFact
-
- getPredecessorSteps() - Method in class aima.core.logic.fol.inference.proof.ProofStepGoal
-
- getPredecessorSteps() - Method in class aima.core.logic.fol.inference.proof.ProofStepPremise
-
- getPredecessorSteps() - Method in class aima.core.logic.fol.inference.proof.ProofStepRenaming
-
- getPredicateName() - Method in class aima.core.logic.fol.parsing.ast.Predicate
-
- getPredicates() - Method in class aima.core.logic.fol.domain.FOLDomain
-
- getPredicates(Sentence) - Method in class aima.core.logic.fol.PredicateCollector
-
- getPrefix() - Method in interface aima.core.logic.fol.StandardizeApartIndexical
-
- getPrior() - Method in interface aima.core.probability.hmm.HiddenMarkovModel
-
Return the prior distribution represented as a column vector in Matrix
form.
- getPrior() - Method in class aima.core.probability.hmm.impl.HMM
-
- getPriorNetwork() - Method in interface aima.core.probability.bayes.DynamicBayesianNetwork
-
- getPriorNetwork() - Method in class aima.core.probability.bayes.impl.DynamicBayesNet
-
- getProb() - Method in class aima.core.nlp.parsing.LexWord
-
- getProblem() - Method in class aima.core.environment.vacuum.NondeterministicVacuumAgent
-
Returns the search problem for this agent.
- getProblem() - Method in class aima.core.search.online.LRTAStarAgent
-
Returns the search problem of this agent.
- getProblem() - Method in class aima.core.search.online.OnlineDFSAgent
-
Returns the search problem for this agent.
- getProblematicTokens() - Method in exception aima.core.logic.common.ParserException
-
- getProof() - Method in class aima.core.logic.fol.inference.proof.AbstractProofStep
-
- getProof() - Method in interface aima.core.logic.fol.inference.proof.ProofStep
-
- getProof() - Method in class aima.core.logic.fol.inference.proof.ProofStepBwChGoal
-
- getProof() - Method in class aima.core.logic.fol.inference.proof.ProofStepChainCancellation
-
- getProof() - Method in class aima.core.logic.fol.inference.proof.ProofStepChainContrapositive
-
- getProof() - Method in class aima.core.logic.fol.inference.proof.ProofStepChainDropped
-
- getProof() - Method in class aima.core.logic.fol.inference.proof.ProofStepChainFromClause
-
- getProof() - Method in class aima.core.logic.fol.inference.proof.ProofStepChainReduction
-
- getProof() - Method in class aima.core.logic.fol.inference.proof.ProofStepClauseBinaryResolvent
-
- getProof() - Method in class aima.core.logic.fol.inference.proof.ProofStepClauseClausifySentence
-
- getProof() - Method in class aima.core.logic.fol.inference.proof.ProofStepClauseDemodulation
-
- getProof() - Method in class aima.core.logic.fol.inference.proof.ProofStepClauseFactor
-
- getProof() - Method in class aima.core.logic.fol.inference.proof.ProofStepClauseParamodulation
-
- getProof() - Method in class aima.core.logic.fol.inference.proof.ProofStepFoChAlreadyAFact
-
- getProof() - Method in class aima.core.logic.fol.inference.proof.ProofStepFoChAssertFact
-
- getProof() - Method in class aima.core.logic.fol.inference.proof.ProofStepGoal
-
- getProof() - Method in class aima.core.logic.fol.inference.proof.ProofStepPremise
-
- getProof() - Method in class aima.core.logic.fol.inference.proof.ProofStepRenaming
-
- getProofs() - Method in interface aima.core.logic.fol.inference.InferenceResult
-
- getProofStep() - Method in class aima.core.logic.fol.kb.data.Chain
-
- getProofStep() - Method in class aima.core.logic.fol.kb.data.Clause
-
- getPropositionSymbolsInSentence(Sentence) - Method in class aima.core.logic.propositional.inference.DPLLSatisfiable
-
- getPropositionSymbolsInSentence(Sentence) - Method in class aima.core.logic.propositional.inference.OptimizedDPLL
-
- getQuantified() - Method in class aima.core.logic.fol.parsing.ast.QuantifiedSentence
-
- getQuantifier() - Method in class aima.core.logic.fol.parsing.ast.QuantifiedSentence
-
- getQueenPositions() - Method in class aima.core.environment.nqueens.NQueensBoard
-
- getRadius() - Method in class aima.core.util.math.geom.shapes.Circle2D
-
- getRandomVariable() - Method in class aima.core.probability.bayes.impl.AbstractNode
-
- getRandomVariable() - Method in interface aima.core.probability.bayes.Node
-
- getRangeReading(double) - Method in interface aima.core.robotics.impl.map.IRangeReadingFactory
-
Creates a new instance of <R> for the given parameters.
- getRangeReadings() - Method in interface aima.core.robotics.IMclRobot
-
Causes a series of sensor measurements to determine the distance to various obstacles within the environment.
- getRepresentation() - Method in class aima.core.probability.bayes.model.FiniteBayesModel
-
- getRepresentation() - Method in class aima.core.probability.full.FullJointDistributionModel
-
- getRepresentation() - Method in interface aima.core.probability.ProbabilityModel
-
- getRepresentation() - Method in class aima.core.search.local.Individual
-
- getRestaurantDataSet() - Static method in class aima.core.learning.framework.DataSetFactory
-
- getResult(ConnectFourState, Integer) - Method in class aima.core.environment.connectfour.ConnectFourGame
-
- getResult(TicTacToeState, XYLocation) - Method in class aima.core.environment.tictactoe.TicTacToeGame
-
- getResult(STATE, ACTION) - Method in interface aima.core.search.adversarial.Game
-
- getResultFunction() - Static method in class aima.core.environment.eightpuzzle.EightPuzzleFunctionFactory
-
- getResultFunction() - Static method in class aima.core.environment.map.MapFunctionFactory
-
- getResultFunction() - Static method in class aima.core.environment.nqueens.NQueensFunctionFactory
-
Returns a RESULT function for the n-queens problem.
- getResultFunction() - Static method in class aima.core.environment.wumpusworld.WumpusFunctionFactory
-
- getResultFunction() - Method in class aima.core.search.framework.problem.Problem
-
Returns the description of what each action does.
- getResultsFunction() - Method in class aima.core.search.nondeterministic.NondeterministicProblem
-
Return the description of what each action does.
- getReverseActionsFunction(Map) - Static method in class aima.core.environment.map.MapFunctionFactory
-
- getReverseProblem() - Method in class aima.core.environment.eightpuzzle.BidirectionalEightPuzzleProblem
-
- getReverseProblem() - Method in class aima.core.environment.map.BidirectionalMapProblem
-
- getReverseProblem() - Method in interface aima.core.search.framework.problem.BidirectionalProblem
-
- getReverseSubstitution() - Method in class aima.core.logic.fol.StandardizeApartResult
-
- getRoom() - Method in class aima.core.environment.wumpusworld.AgentPosition
-
- getRowDimension() - Method in class aima.core.util.math.Matrix
-
Get row dimension.
- getRowPackedCopy() - Method in class aima.core.util.math.Matrix
-
Make a one-dimensional row packed copy of the internal array.
- getRows() - Method in class aima.core.environment.connectfour.ConnectFourState
-
- getSample(double, Object...) - Method in interface aima.core.probability.bayes.ConditionalProbabilityDistribution
-
Retrieve a specific example for the Random Variable this conditional
distribution is on.
- getSample(double, AssignmentProposition...) - Method in interface aima.core.probability.bayes.ConditionalProbabilityDistribution
-
Retrieve a specific example for the Random Variable this conditional
distribution is on.
- getSample(double, Object...) - Method in class aima.core.probability.bayes.impl.CPT
-
- getSample(double, AssignmentProposition...) - Method in class aima.core.probability.bayes.impl.CPT
-
- getSavedDomains() - Method in class aima.core.search.csp.DomainRestoreInfo
-
- getScope() - Method in class aima.core.probability.proposition.AbstractProposition
-
- getScope() - Method in interface aima.core.probability.proposition.Proposition
-
- getScope() - Method in class aima.core.probability.util.RandVar
-
- getScope() - Method in interface aima.core.search.csp.Constraint
-
Returns a tuple of variables that participate in the constraint.
- getScope() - Method in class aima.core.search.csp.examples.DiffNotEqualConstraint
-
- getScope() - Method in class aima.core.search.csp.examples.NotEqualConstraint
-
- getSecond() - Method in class aima.core.logic.fol.parsing.ast.ConnectedSentence
-
- getSecond() - Method in class aima.core.util.datastructure.Pair
-
Returns the second element of the pair
- getSecond() - Method in class aima.core.util.datastructure.Triplet
-
Returns the second element of the triplet.
- getSecondRightAngledAction() - Method in enum aima.core.environment.cellworld.CellWorldAction
-
- getSensitivityMatrix() - Method in class aima.core.learning.neural.LayerSensitivity
-
- getSensorModel() - Method in interface aima.core.probability.hmm.HiddenMarkovModel
-
Return the sensor model in matrix form:
P(et | Xt = i) for each state i.
For mathematical convenience we place each of these values into an S * S
diagonal matrix.
- getSensorModel() - Method in class aima.core.probability.hmm.impl.HMM
-
- getSentences() - Method in class aima.core.logic.propositional.kb.KnowledgeBase
-
Returns the list of sentences in the knowledge base.
- getSequenceOfActions(Node) - Static method in class aima.core.search.framework.SearchUtils
-
Returns the list of actions corresponding to the complete path to the
given node or NoOp if path length is one.
- getShapes() - Method in class aima.core.util.math.geom.CartesianPlot2D
-
- getSimplerSentence(int) - Method in class aima.core.logic.propositional.parsing.ast.ComplexSentence
-
- getSimplerSentence(int) - Method in class aima.core.logic.propositional.parsing.ast.Sentence
-
Get the simplified sentence, at the specified offset (starts at 0),
contained by this Sentence if it is a Complex Sentence, null otherwise.
- getSize() - Method in class aima.core.environment.nqueens.NQueensBoard
-
- getSkolemConstantName() - Method in class aima.core.logic.fol.domain.FOLDomainSkolemConstantAddedEvent
-
- getSkolemConstantName() - Method in class aima.core.logic.fol.domain.FOLDomainSkolemFunctionAddedEvent
-
- getSLDHeuristicFunction(Object, Map) - Static method in class aima.core.environment.map.MapFunctionFactory
-
Returns an adaptable heuristic based on straight line distance computation.
- getStandardized() - Method in class aima.core.logic.fol.StandardizeApartResult
-
- getStart() - Method in class aima.core.util.math.geom.shapes.Line2D
-
- getStart() - Method in class aima.core.util.math.geom.shapes.Ray2D
-
- getStartCharPositionInInput() - Method in class aima.core.logic.common.Token
-
- getState() - Method in class aima.core.environment.eightpuzzle.EightPuzzleBoard
-
- getState(Percept) - Method in class aima.core.environment.vacuum.FullyObservableVacuumEnvironmentPerceptToStateFunction
-
- getState() - Method in class aima.core.search.framework.Node
-
Returns the state in the state space to which the node corresponds.
- getState(Percept) - Method in interface aima.core.search.framework.PerceptToStateFunction
-
Get the problem state associated with a Percept.
- getStates() - Method in class aima.core.util.FrequencyCounter
-
- getStateVariable() - Method in interface aima.core.probability.hmm.HiddenMarkovModel
-
Return the single discrete random variable used to describe the process
state.
- getStateVariable() - Method in class aima.core.probability.hmm.impl.HMM
-
- getStdevs() - Method in class aima.core.learning.neural.NNDataSet
-
- getStepCostFunction() - Method in class aima.core.search.framework.problem.Problem
-
Returns the path cost function.
- getStepCostFunction() - Method in class aima.core.search.nondeterministic.NondeterministicProblem
-
Returns the path cost function.
- getStepCostFunction() - Method in class aima.core.search.online.OnlineSearchProblem
-
Returns the step cost function of this online search problem.
- getStepNumber() - Method in class aima.core.logic.fol.inference.proof.AbstractProofStep
-
- getStepNumber() - Method in interface aima.core.logic.fol.inference.proof.ProofStep
-
- getSteps() - Method in interface aima.core.logic.fol.inference.proof.Proof
-
- getSteps() - Method in class aima.core.logic.fol.inference.proof.ProofFinal
-
- getStumpFor(DataSet, String, String, String, List<String>, String) - Static method in class aima.core.learning.inductive.DecisionTree
-
- getStumpsFor(DataSet, String, String) - Static method in class aima.core.learning.inductive.DecisionTree
-
- getSuccessors(VertexLabelType) - Method in class aima.core.util.datastructure.LabeledGraph
-
Returns the labels of those vertices which can be obtained by following
the edges starting at the specified vertex.
- getSum() - Method in interface aima.core.probability.CategoricalDistribution
-
- getSum() - Method in class aima.core.probability.util.ProbabilityTable
-
- getSymbol() - Method in enum aima.core.logic.propositional.parsing.ast.Connective
-
- getSymbol() - Method in class aima.core.logic.propositional.parsing.ast.PropositionSymbol
-
- getSymbolicName() - Method in class aima.core.logic.fol.parsing.ast.ConnectedSentence
-
- getSymbolicName() - Method in class aima.core.logic.fol.parsing.ast.Constant
-
- getSymbolicName() - Method in interface aima.core.logic.fol.parsing.ast.FOLNode
-
- getSymbolicName() - Method in class aima.core.logic.fol.parsing.ast.Function
-
- getSymbolicName() - Method in class aima.core.logic.fol.parsing.ast.NotSentence
-
- getSymbolicName() - Method in class aima.core.logic.fol.parsing.ast.Predicate
-
- getSymbolicName() - Method in class aima.core.logic.fol.parsing.ast.QuantifiedSentence
-
- getSymbolicName() - Method in class aima.core.logic.fol.parsing.ast.TermEquality
-
- getSymbolicName() - Method in class aima.core.logic.fol.parsing.ast.Variable
-
- getSymbols() - Method in class aima.core.logic.propositional.kb.data.Clause
-
- getSymbols() - Method in class aima.core.logic.propositional.kb.KnowledgeBase
-
- getSymbolsFrom(Sentence...) - Static method in class aima.core.logic.propositional.visitors.SymbolCollector
-
Collect a set of propositional symbols from a list of given sentences.
- getTail() - Method in class aima.core.logic.fol.kb.data.Chain
-
- getTarget() - Method in class aima.core.learning.framework.DataSetSpecification
-
- getTarget() - Method in class aima.core.learning.neural.NNExample
-
- getTargetAttributeName() - Method in class aima.core.learning.framework.DataSet
-
- getTemp(int) - Method in class aima.core.search.local.Scheduler
-
- getTerm1() - Method in class aima.core.logic.fol.parsing.ast.TermEquality
-
- getTerm2() - Method in class aima.core.logic.fol.parsing.ast.TermEquality
-
- getTerminalRules(String) - Method in class aima.core.nlp.parsing.Lexicon
-
- getTerms() - Method in class aima.core.logic.fol.parsing.ast.Function
-
- getTerms() - Method in class aima.core.logic.fol.parsing.ast.Predicate
-
- getTermVariable() - Method in class aima.core.probability.proposition.AbstractTermProposition
-
- getTermVariable() - Method in interface aima.core.probability.proposition.TermProposition
-
- getTermVariable() - Method in class aima.core.probability.util.RandVar
-
- getText() - Method in class aima.core.logic.common.Token
-
Returns the attribute-value of this token.
- getThird() - Method in class aima.core.util.datastructure.Triplet
-
Returns the third element of the triplet.
- getTimeInMilliseconds() - Method in class aima.core.search.local.GeneticAlgorithm
-
- getToLocation() - Method in class aima.core.environment.map.MoveToAction
-
- getToOrientation() - Method in class aima.core.environment.wumpusworld.action.TurnLeft
-
- getToOrientation() - Method in class aima.core.environment.wumpusworld.action.TurnRight
-
- getToPosition() - Method in class aima.core.environment.wumpusworld.action.Forward
-
- getTracer() - Method in class aima.core.logic.fol.inference.FOLTFMResolution
-
- getTransitionModel() - Method in interface aima.core.probability.hmm.HiddenMarkovModel
-
Return the transition model:
P(Xt | Xt-1)
is represented by an S * S matrix T where
Tij = P(Xt = j | Xt-1 = i).
- getTransitionModel() - Method in class aima.core.probability.hmm.impl.HMM
-
- getTrueGoalValue() - Method in class aima.core.learning.knowledge.FOLDataSetDomain
-
- getType() - Method in class aima.core.logic.common.Token
-
Returns the token-name of this token.
- getU() - Method in class aima.core.util.math.LUDecomposition
-
Return upper triangular factor
- getUmbrellaWorld_Xt_to_Xtm1_Map() - Static method in class aima.core.probability.example.GenericTemporalModelFactory
-
- getUmbrellaWorldModel() - Static method in class aima.core.probability.example.GenericTemporalModelFactory
-
- getUmbrellaWorldModel() - Static method in class aima.core.probability.example.HMMExampleFactory
-
- getUmbrellaWorldNetwork() - Static method in class aima.core.probability.example.DynamicBayesNetExampleFactory
-
Return a Dynamic Bayesian Network of the Umbrella World Network.
- getUmbrellaWorldSensorModel() - Static method in class aima.core.probability.example.GenericTemporalModelFactory
-
- getUmbrellaWorldTransitionModel() - Static method in class aima.core.probability.example.GenericTemporalModelFactory
-
- getUnboundScope() - Method in class aima.core.probability.proposition.AbstractProposition
-
- getUnboundScope() - Method in interface aima.core.probability.proposition.Proposition
-
- getUnboundScope() - Method in class aima.core.probability.util.RandVar
-
- getUnMarkedPositions() - Method in class aima.core.environment.tictactoe.TicTacToeState
-
- getUpper() - Method in class aima.core.util.math.Interval
-
Returns the upper end point of the interval.
- getUpperLeft() - Method in class aima.core.util.math.geom.shapes.Rect2D
-
- getUpperRight() - Method in class aima.core.util.math.geom.shapes.Rect2D
-
- getUtility(ConnectFourState, String) - Method in class aima.core.environment.connectfour.ConnectFourGame
-
- getUtility() - Method in class aima.core.environment.connectfour.ConnectFourState
-
- getUtility(TicTacToeState, String) - Method in class aima.core.environment.tictactoe.TicTacToeGame
-
- getUtility() - Method in class aima.core.environment.tictactoe.TicTacToeState
-
- getUtility() - Method in class aima.core.learning.reinforcement.agent.PassiveADPAgent
-
- getUtility() - Method in class aima.core.learning.reinforcement.agent.PassiveTDAgent
-
- getUtility() - Method in class aima.core.learning.reinforcement.agent.QLearningAgent
-
- getUtility() - Method in class aima.core.learning.reinforcement.agent.ReinforcementAgent
-
Get a vector of the currently calculated utilities for states of type S
in the world.
- getUtility(STATE, PLAYER) - Method in interface aima.core.search.adversarial.Game
-
- getValue() - Method in class aima.core.environment.connectfour.ActionValuePair
-
- getValue(int, int) - Method in class aima.core.environment.tictactoe.TicTacToeState
-
- getValue() - Method in class aima.core.logic.fol.parsing.ast.Constant
-
- getValue() - Method in class aima.core.logic.fol.parsing.ast.Variable
-
- getValue(PropositionSymbol) - Method in class aima.core.logic.propositional.kb.data.Model
-
- getValue(Object...) - Method in interface aima.core.probability.bayes.ConditionalProbabilityDistribution
-
Get the value for the provided set of values for the random variables
comprising the Conditional Distribution (ordering and size of each must
equal getFor() and their domains must match).
- getValue(AssignmentProposition...) - Method in interface aima.core.probability.bayes.ConditionalProbabilityDistribution
-
Get the value for the provided set of AssignmentPropositions for the
random variables comprising the Conditional Distribution (size of each
must equal and their random variables must match).
- getValue(Object...) - Method in class aima.core.probability.bayes.impl.CPT
-
- getValue(AssignmentProposition...) - Method in class aima.core.probability.bayes.impl.CPT
-
- getValue(Object...) - Method in interface aima.core.probability.ProbabilityDistribution
-
Get the value for the provided set of values for the random variables
comprising the Distribution (ordering and size of each must equal and
their domains must match).
- getValue(AssignmentProposition...) - Method in interface aima.core.probability.ProbabilityDistribution
-
Get the value for the provided set of AssignmentPropositions for the
random variables comprising the Distribution (size of each must equal and
their random variables must match).
- getValue() - Method in class aima.core.probability.proposition.AssignmentProposition
-
- getValue(Object...) - Method in class aima.core.probability.util.ProbabilityTable
-
- getValue(AssignmentProposition...) - Method in class aima.core.probability.util.ProbabilityTable
-
- getValue() - Method in class aima.core.robotics.impl.datatypes.AbstractRangeReading
-
Returns the range that was measured.
- getValue() - Method in class aima.core.robotics.impl.datatypes.Angle
-
- getValue(int) - Method in class aima.core.util.math.Vector
-
Returns the value at the specified index.
- getValueAt(XYLocation) - Method in class aima.core.environment.eightpuzzle.EightPuzzleBoard
-
- getValueAt(int) - Method in class aima.core.probability.domain.AbstractFiniteDomain
-
- getValueAt(int) - Method in interface aima.core.probability.domain.FiniteDomain
-
- getValues() - Method in interface aima.core.probability.CategoricalDistribution
-
Note: Do not modify the double[] returned by this method directly.
- getValues() - Method in interface aima.core.probability.Factor
-
Note: Do not modify the double[] returned by this method directly
as it is intended to be read only.
- getValues() - Method in class aima.core.probability.util.ProbabilityTable
-
- getVariables() - Method in class aima.core.logic.fol.parsing.ast.QuantifiedSentence
-
- getVariables() - Method in class aima.core.search.csp.Assignment
-
- getVariables() - Method in class aima.core.search.csp.CSP
-
- getVariablesInTopologicalOrder() - Method in interface aima.core.probability.bayes.BayesianNetwork
-
- getVariablesInTopologicalOrder() - Method in class aima.core.probability.bayes.impl.BayesNet
-
- getVertexes() - Method in class aima.core.util.math.geom.shapes.Polyline2D
-
- getVertexLabels() - Method in class aima.core.util.datastructure.LabeledGraph
-
Returns the labels of all vertices within the graph.
- getVerticalLength() - Method in class aima.core.util.math.geom.shapes.Ellipse2D
-
- getWeightMatrix() - Method in class aima.core.learning.neural.Layer
-
- getWord() - Method in class aima.core.nlp.parsing.LexWord
-
- getX() - Method in class aima.core.environment.cellworld.Cell
-
- getX() - Method in class aima.core.environment.nqueens.QueenAction
-
- getX() - Method in class aima.core.environment.wumpusworld.AgentPosition
-
- getX() - Method in class aima.core.environment.wumpusworld.Room
-
- getX() - Method in interface aima.core.robotics.impl.datatypes.IPose2D
-
- getX() - Method in class aima.core.util.math.geom.shapes.Point2D
-
Returns the X coordinate of this Point2D in
double precision.
- getX() - Method in class aima.core.util.math.geom.shapes.Vector2D
-
- getX_0() - Method in interface aima.core.probability.bayes.DynamicBayesianNetwork
-
- getX_0() - Method in class aima.core.probability.bayes.impl.DynamicBayesNet
-
- getX_0_to_X_1() - Method in interface aima.core.probability.bayes.DynamicBayesianNetwork
-
- getX_0_to_X_1() - Method in class aima.core.probability.bayes.impl.DynamicBayesNet
-
- getX_1() - Method in interface aima.core.probability.bayes.DynamicBayesianNetwork
-
- getX_1() - Method in class aima.core.probability.bayes.impl.DynamicBayesNet
-
- getX_1_to_X_0() - Method in interface aima.core.probability.bayes.DynamicBayesianNetwork
-
- getX_1_to_X_0() - Method in class aima.core.probability.bayes.impl.DynamicBayesNet
-
- getX_1_VariablesInTopologicalOrder() - Method in interface aima.core.probability.bayes.DynamicBayesianNetwork
-
- getX_1_VariablesInTopologicalOrder() - Method in class aima.core.probability.bayes.impl.DynamicBayesNet
-
- getXCoOrdinate() - Method in class aima.core.util.datastructure.XYLocation
-
Returns the X coordinate of the location in integer precision.
- getXResult(int) - Method in enum aima.core.environment.cellworld.CellWorldAction
-
- getY() - Method in class aima.core.environment.cellworld.Cell
-
- getY() - Method in class aima.core.environment.nqueens.QueenAction
-
- getY() - Method in class aima.core.environment.wumpusworld.AgentPosition
-
- getY() - Method in class aima.core.environment.wumpusworld.Room
-
- getY() - Method in interface aima.core.robotics.impl.datatypes.IPose2D
-
- getY() - Method in class aima.core.util.math.geom.shapes.Point2D
-
Returns the Y coordinate of this Point2D in
double precision.
- getY() - Method in class aima.core.util.math.geom.shapes.Vector2D
-
- getYCoOrdinate() - Method in class aima.core.util.datastructure.XYLocation
-
- getYResult(int) - Method in enum aima.core.environment.cellworld.CellWorldAction
-
- getZeroHeuristic() - Static method in class aima.core.search.framework.SearchUtils
-
Returns the most optimistic heuristic function possible (always returns 0).
- getZeroHeuristicFunction() - Static method in class aima.core.environment.map.MapFunctionFactory
-
Returns a heuristic which always returns zero.
- GibbsAsk - Class in aima.core.probability.bayes.approx
-
Artificial Intelligence A Modern Approach (3rd Edition): page 537.
- GibbsAsk() - Constructor for class aima.core.probability.bayes.approx.GibbsAsk
-
- GibbsAsk(Randomizer) - Constructor for class aima.core.probability.bayes.approx.GibbsAsk
-
- gibbsAsk(RandomVariable[], AssignmentProposition[], BayesianNetwork, int) - Method in class aima.core.probability.bayes.approx.GibbsAsk
-
The GIBBS-ASK algorithm in Figure 14.16.
- GIURGIU - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfPartOfRomania
-
- goals - Variable in class aima.core.environment.map.MapAgent
-
- GoalTest - Interface in aima.core.search.framework.problem
-
Artificial Intelligence A Modern Approach (3rd Edition): page 67.
The goal test, which determines whether a given state is a goal state.
- goalTest - Variable in class aima.core.search.framework.problem.Problem
-
- goalTest - Variable in class aima.core.search.nondeterministic.NondeterministicProblem
-
- goalTest - Variable in class aima.core.search.online.OnlineSearchProblem
-
- Grab - Class in aima.core.environment.wumpusworld.action
-
Artificial Intelligence A Modern Approach (3rd Edition): page 237.
The action Grab can be used to pick up the gold if it is in the same square
as the agent.
- Grab() - Constructor for class aima.core.environment.wumpusworld.action.Grab
-
- GRAB_ACTION_NAME - Static variable in class aima.core.environment.wumpusworld.action.Grab
-
- GraphSearch - Class in aima.core.search.framework.qsearch
-
Artificial Intelligence A Modern Approach (3rd Edition): Figure 3.7, page 77.
- GraphSearch() - Constructor for class aima.core.search.framework.qsearch.GraphSearch
-
- GraphSearch(NodeExpander) - Constructor for class aima.core.search.framework.qsearch.GraphSearch
-
- GraphSearchBFS - Class in aima.core.search.framework.qsearch
-
Artificial Intelligence A Modern Approach (3rd Edition): Figure 3.7, page 77.
- GraphSearchBFS() - Constructor for class aima.core.search.framework.qsearch.GraphSearchBFS
-
- GraphSearchBFS(NodeExpander) - Constructor for class aima.core.search.framework.qsearch.GraphSearchBFS
-
- GraphSearchReducedFrontier - Class in aima.core.search.framework.qsearch
-
Artificial Intelligence A Modern Approach (3rd Edition): Figure 3.7, page 77.
- GraphSearchReducedFrontier() - Constructor for class aima.core.search.framework.qsearch.GraphSearchReducedFrontier
-
- GraphSearchReducedFrontier(NodeExpander) - Constructor for class aima.core.search.framework.qsearch.GraphSearchReducedFrontier
-
- GreedyBestFirstEvaluationFunction - Class in aima.core.search.informed
-
Artificial Intelligence A Modern Approach (3rd Edition): page 92.
Greedy best-first search tries to expand the node that is closest to the
goal, on the grounds that this is likely to lead to a solution quickly.
- GreedyBestFirstEvaluationFunction(HeuristicFunction) - Constructor for class aima.core.search.informed.GreedyBestFirstEvaluationFunction
-
- GreedyBestFirstEvaluationFunction() - Constructor for class aima.core.search.informed.GreedyBestFirstEvaluationFunction
-
Note: Do not forget to heuristic function before starting the search!
- GreedyBestFirstSearch - Class in aima.core.search.informed
-
Artificial Intelligence A Modern Approach (3rd Edition): page 92.
Greedy best-first search tries to expand the node that is closest to the
goal, on the grounds that this is likely to lead to a solution quickly.
- GreedyBestFirstSearch(QueueSearch, HeuristicFunction) - Constructor for class aima.core.search.informed.GreedyBestFirstSearch
-
Constructs a greedy best-first search from a specified search space
exploration strategy and a heuristic function.
- GREEN - Static variable in class aima.core.search.csp.examples.MapCSP
-
- IASI - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfPartOfRomania
-
- IdentifyCandidateMatchingTerm(Term, AtomicSentence) - Constructor for class aima.core.logic.fol.inference.AbstractModulation.IdentifyCandidateMatchingTerm
-
- identity(int, int) - Static method in class aima.core.util.math.Matrix
-
Generate identity matrix
- ifStateMatches(Object) - Method in class aima.core.search.nondeterministic.IfStateThenPlan
-
Uses this if-state-then-plan return a result based on the given state
- IfStateThenPlan - Class in aima.core.search.nondeterministic
-
Represents an if-state-then-plan statement for use with AND-OR search;
explanation given on page 135 of AIMA3e.
- IfStateThenPlan(Object, Plan) - Constructor for class aima.core.search.nondeterministic.IfStateThenPlan
-
Constructor
- IGeometric2D - Interface in aima.core.util.math.geom.shapes
-
This interface defines functionality that geometric shapes in a two-dimensional Cartesian plot have to implement.
If pre-calculations can speed up the functions isInside,isInsideBorder and rayCast these calculations should be made.
The reason being that these functions will be called more frequently than the constructor of the shapes.
- IGroupParser - Interface in aima.core.util.math.geom
-
This interface defines a parser that creates
ArrayLists for geometric shapes represented through
IGeometric2D
and their boundaries represented through
Rect2D out of a given file.
The parser uses a
File as an input and a
String representing the ID of a group of shapes.
- IMclMap<P extends IMclPose<P,V,M>,V extends IMclVector,M extends IMclMove<M>,R extends IMclRangeReading<R,V>> - Interface in aima.core.robotics
-
This interface defines functionality for a map of an environment for a robot (agent) to perform Monte-Carlo-Localization in.
- IMclMove<M extends IMclMove<M>> - Interface in aima.core.robotics.datatypes
-
This interface represents a movement or a sequence of movements that the robot performed.
In addition it describes a method for using a movement noise model on the move.
- IMclPose<P extends IMclPose<P,V,M>,V extends IMclVector,M extends IMclMove<M>> - Interface in aima.core.robotics.datatypes
-
A pose consists of a position in the environment and a heading in which the pose is facing.
In a two-dimensional environment this would be an position represented through a point with (x,y) and an angle.
In an n-dimensional environment the angle is represented through a vector.
- IMclRangeReading<R extends IMclRangeReading<R,V>,V extends IMclVector> - Interface in aima.core.robotics.datatypes
-
This interface defines a data type for a range measurement.
- IMclRobot<V extends IMclVector,M extends IMclMove<M>,R extends IMclRangeReading<R,V>> - Interface in aima.core.robotics
-
This interface defines functionality a robotic agent has to implement in order to localize itself via
MonteCarloLocalization.
- IMclVector - Interface in aima.core.robotics.datatypes
-
This interfaces is a data type for an n-1-dimensional vector, where n is the dimensionality of the environment.
It represents an angle between two headings or directions in the environment.
This vector is used as a transfer between an
IMclRangeReading and an
IMclPose.
- ImplicationElimination - Class in aima.core.logic.propositional.visitors
-
Artificial Intelligence A Modern Approach (3rd Edition): page 253.
Eliminate =>, replacing α => β
with ~α | β
- ImplicationElimination() - Constructor for class aima.core.logic.propositional.visitors.ImplicationElimination
-
- IMPLIES - Static variable in class aima.core.logic.fol.Connectors
-
- ImprovedBacktrackingStrategy - Class in aima.core.search.csp
-
- ImprovedBacktrackingStrategy() - Constructor for class aima.core.search.csp.ImprovedBacktrackingStrategy
-
Creates a strategy which is by default equivalent to plain backtracking.
- ImprovedBacktrackingStrategy(boolean, boolean, boolean, boolean) - Constructor for class aima.core.search.csp.ImprovedBacktrackingStrategy
-
Creates a backtracking strategy with the specified features.
- ImprovedBacktrackingStrategy.Inference - Enum in aima.core.search.csp
-
- ImprovedBacktrackingStrategy.Selection - Enum in aima.core.search.csp
-
- incDescendants() - Method in class aima.core.search.local.Individual
-
Should be called by the genetic algorithm whenever the individual is
selected to produce a descendant.
- increment(int, int) - Method in interface aima.core.logic.fol.inference.trace.FOLModelEliminationTracer
-
- increment() - Method in class aima.core.util.math.MixedRadixNumber
-
Increments the value of the mixed radix number, if the value is less than
the maximum value which can be represented by the current array of
radices.
- incrementDepthLimit() - Method in class aima.core.search.adversarial.IterativeDeepeningAlphaBetaSearch
-
Primitive operation which is called at the beginning of one depth limited
search step.
- incrementFor(T) - Method in class aima.core.util.FrequencyCounter
-
Increments the count to which the specified key is mapped in this
frequency counter, or puts 1 if the map contains no mapping for this key.
- incrementInt(String) - Method in class aima.core.search.framework.Metrics
-
- indexesOfValue(RandomVariable[], int, Map<RandomVariable, Object>) - Static method in class aima.core.probability.util.ProbUtil
-
Calculate the indexes for X[i] into a vector representing the enumeration
of the value assignments for the variables X and their corresponding
assignment in x.
- indexHavingMaxValue() - Method in class aima.core.util.math.Vector
-
Returns the index at which the maximum value in this vector is located.
- indexOf(RandomVariable[], Map<RandomVariable, Object>) - Static method in class aima.core.probability.util.ProbUtil
-
Calculate the index into a vector representing the enumeration of the
value assignments for the variables X and their corresponding assignment
in x.
- indexOf(Variable) - Method in class aima.core.search.csp.CSP
-
- indexPossibleValues(Set<? extends Object>) - Method in class aima.core.probability.domain.AbstractFiniteDomain
-
- Individual<A> - Class in aima.core.search.local
-
Artificial Intelligence A Modern Approach (3rd Edition): page 127.
A state in a genetic algorithm is represented as an individual from the
population.
- Individual(List<A>) - Constructor for class aima.core.search.local.Individual
-
Construct an individual using the provided representation.
- individualLength - Variable in class aima.core.search.local.GeneticAlgorithm
-
- inference(Variable, Assignment, CSP) - Method in class aima.core.search.csp.BacktrackingStrategy
-
Primitive operation, which tries to prune out values from the CSP which
are not possible anymore when extending the given assignment to a
solution.
- inference(Variable, Assignment, CSP) - Method in class aima.core.search.csp.ImprovedBacktrackingStrategy
-
Primitive operation, which tries to prune out values from the CSP which
are not possible anymore when extending the given assignment to a
solution.
- InferenceProcedure - Interface in aima.core.logic.fol.inference
-
- InferenceResult - Interface in aima.core.logic.fol.inference
-
- InferenceResultPrinter - Class in aima.core.logic.fol.inference
-
- InferenceResultPrinter() - Constructor for class aima.core.logic.fol.inference.InferenceResultPrinter
-
- inferenceStrategy - Variable in class aima.core.search.csp.ImprovedBacktrackingStrategy
-
- information(double[]) - Static method in class aima.core.util.Util
-
- init() - Method in class aima.core.agent.impl.aprog.ModelBasedReflexAgentProgram
-
Realizations of this class should implement the init() method so that it
calls the setState(), setModel(), and setRules() method.
- initializeAgenda(Map<Clause, Integer>) - Method in class aima.core.logic.propositional.inference.PLFCEntails
-
- initializeCount(KnowledgeBase) - Method in class aima.core.logic.propositional.inference.PLFCEntails
-
- initializeIndex(Map<Clause, Integer>, Map<PropositionSymbol, Boolean>) - Method in class aima.core.logic.propositional.inference.PLFCEntails
-
- initializeInferred(KnowledgeBase) - Method in class aima.core.logic.propositional.inference.PLFCEntails
-
- initialPolicyVector(MarkovDecisionProcess<S, A>) - Static method in class aima.core.probability.mdp.search.PolicyIteration
-
Create a policy vector indexed by state, initially random.
- initialSOS(Set<Clause>) - Method in class aima.core.logic.fol.inference.otter.defaultimpl.DefaultLightestClauseHeuristic
-
- initialSOS(Set<Clause>) - Method in interface aima.core.logic.fol.inference.otter.LightestClauseHeuristic
-
SOS life-cycle methods allowing implementations of this interface to
incrementally update the calculation of the lightest clause as opposed to
having to recalculate each time.
- initialState - Variable in class aima.core.search.framework.problem.Problem
-
- initialState - Variable in class aima.core.search.nondeterministic.NondeterministicProblem
-
- initMap(ExtendableMap) - Static method in class aima.core.environment.map.SimplifiedRoadMapOfAustralia
-
Initializes a map with a simplified road map of Australia.
- initMap(ExtendableMap) - Static method in class aima.core.environment.map.SimplifiedRoadMapOfPartOfRomania
-
Initializes a map with a simplified road map of Romania.
- initPersistent(int, DynamicBayesianNetwork) - Method in class aima.core.probability.bayes.approx.ParticleFiltering
-
Reset this instances persistent variables to be used between called to
particleFiltering().
- IntegerSumProposition - Class in aima.core.probability.proposition
-
- IntegerSumProposition(String, FiniteIntegerDomain, RandomVariable...) - Constructor for class aima.core.probability.proposition.IntegerSumProposition
-
- interpretInput(Percept) - Method in class aima.core.agent.impl.aprog.SimpleReflexAgentProgram
-
- intersection(Set<T>, Set<T>) - Static method in class aima.core.util.SetOps
-
- Interval<C> - Class in aima.core.util.math
-
Basic supports for Intervals.
- Interval() - Constructor for class aima.core.util.math.Interval
-
- Interval(Comparable<C>, Comparable<C>) - Constructor for class aima.core.util.math.Interval
-
Constructs a closed interval from the two specified end points.
- Interval(Comparable<C>, boolean, Comparable<C>, boolean) - Constructor for class aima.core.util.math.Interval
-
Constructs an interval from the two specified end points.
- intValue() - Method in class aima.core.util.math.MixedRadixNumber
-
- inverse() - Method in class aima.core.util.math.geom.shapes.TransformMatrix2D
-
Calculates the inverse of this transformation matrix.
- inverse() - Method in class aima.core.util.math.Matrix
-
Matrix inverse or pseudoinverse
- invert() - Method in class aima.core.util.math.geom.shapes.Vector2D
-
Inverts this vector.
- IPose2D<P extends IPose2D<P,M>,M extends IMclMove<M>> - Interface in aima.core.robotics.impl.datatypes
-
This interface describes functionality for a pose in a two-dimensional Cartesian plot.
- IPoseFactory<P extends IPose2D<P,M>,M extends IMclMove<M>> - Interface in aima.core.robotics.impl.map
-
- IRangeReadingFactory<R extends AbstractRangeReading> - Interface in aima.core.robotics.impl.map
-
- IrisDataSetNumerizer - Class in aima.core.learning.neural
-
- IrisDataSetNumerizer() - Constructor for class aima.core.learning.neural.IrisDataSetNumerizer
-
- IrisNNDataSet - Class in aima.core.learning.neural
-
- IrisNNDataSet() - Constructor for class aima.core.learning.neural.IrisNNDataSet
-
- isAbsoluteParallel(Vector2D) - Method in class aima.core.util.math.geom.shapes.Vector2D
-
Checks whether this vector and another vector are parallel to each other.
If one of the vectors is the zero vector this method always returns true.
- isAcceptableSolution(List<Action>, Object) - Method in interface aima.core.search.framework.SolutionChecker
-
This method is only called if GoalTest.isGoalState() returns true.
- isAlive() - Method in interface aima.core.agent.Agent
-
Life-cycle indicator as to the liveness of an Agent.
- isAlive() - Method in class aima.core.agent.impl.AbstractAgent
-
- isAlwaysFalse() - Method in class aima.core.logic.propositional.kb.data.Literal
-
- isAlwaysFalse() - Method in class aima.core.logic.propositional.parsing.ast.PropositionSymbol
-
- isAlwaysFalseSymbol(String) - Static method in class aima.core.logic.propositional.parsing.ast.PropositionSymbol
-
- isAlwaysTrue() - Method in class aima.core.logic.propositional.kb.data.Literal
-
- isAlwaysTrue() - Method in class aima.core.logic.propositional.parsing.ast.PropositionSymbol
-
- isAlwaysTrueSymbol(String) - Static method in class aima.core.logic.propositional.parsing.ast.PropositionSymbol
-
- isAND(String) - Static method in class aima.core.logic.fol.Connectors
-
- isAndSentence() - Method in class aima.core.logic.propositional.parsing.ast.Sentence
-
- isBICOND(String) - Static method in class aima.core.logic.fol.Connectors
-
- isBiconditionalSentence() - Method in class aima.core.logic.propositional.parsing.ast.Sentence
-
- isBinarySentence() - Method in class aima.core.logic.propositional.parsing.ast.Sentence
-
- isBlocked(XYLocation) - Method in class aima.core.environment.xyenv.XYEnvironment
-
- isBreeze() - Method in class aima.core.environment.wumpusworld.AgentPercept
-
- isBump() - Method in class aima.core.environment.wumpusworld.AgentPercept
-
- isCanceled() - Method in class aima.core.util.CancelableThread
-
Returns true if this thread is canceled
- isClosed() - Method in class aima.core.util.math.geom.shapes.Polyline2D
-
- isComplete(List<Variable>) - Method in class aima.core.search.csp.Assignment
-
Returns true if this assignment assigns values to every variable of
vars.
- isComplete(Variable[]) - Method in class aima.core.search.csp.Assignment
-
Returns true if this assignment assigns values to every variable of
vars.
- isCompound() - Method in class aima.core.logic.fol.parsing.ast.ConnectedSentence
-
- isCompound() - Method in class aima.core.logic.fol.parsing.ast.Constant
-
- isCompound() - Method in interface aima.core.logic.fol.parsing.ast.FOLNode
-
- isCompound() - Method in class aima.core.logic.fol.parsing.ast.Function
-
- isCompound() - Method in class aima.core.logic.fol.parsing.ast.NotSentence
-
- isCompound() - Method in class aima.core.logic.fol.parsing.ast.Predicate
-
- isCompound() - Method in class aima.core.logic.fol.parsing.ast.QuantifiedSentence
-
- isCompound() - Method in class aima.core.logic.fol.parsing.ast.TermEquality
-
- isCompound() - Method in class aima.core.logic.fol.parsing.ast.Variable
-
- isConnective(String) - Static method in enum aima.core.logic.propositional.parsing.ast.Connective
-
Determine if a given symbol is representative of a connective.
- isConnectiveIdentifierPart(char) - Static method in enum aima.core.logic.propositional.parsing.ast.Connective
-
Determine if the given character is part of a connective.
- isConnectiveIdentifierStart(char) - Static method in enum aima.core.logic.propositional.parsing.ast.Connective
-
Determine if the given character is at the beginning of a connective.
- isConsistent(List<Constraint>) - Method in class aima.core.search.csp.Assignment
-
Returns true if this assignment does not violate any constraints of
constraints.
- isCorrect(Vector) - Method in class aima.core.learning.neural.NNExample
-
- isDefiniteClause() - Method in class aima.core.logic.fol.kb.data.Clause
-
- isDefiniteClause() - Method in class aima.core.logic.propositional.kb.data.Clause
-
Determine if a definite clause.
- isDiscardTautologies() - Method in class aima.core.logic.propositional.inference.PLResolution
-
- isDone() - Method in interface aima.core.agent.Environment
-
Returns true if the Environment is finished with its current
task(s).
- isDone() - Method in class aima.core.agent.impl.AbstractEnvironment
-
- isDone - Variable in class aima.core.environment.vacuum.VacuumEnvironment
-
- isDone() - Method in class aima.core.environment.vacuum.VacuumEnvironment
-
- isDone() - Method in class aima.core.search.framework.SearchAgent
-
- isEmpty(int, int) - Method in class aima.core.environment.tictactoe.TicTacToeState
-
- isEmpty() - Method in class aima.core.logic.fol.kb.data.Chain
-
- isEmpty() - Method in class aima.core.logic.fol.kb.data.Clause
-
- isEmpty() - Method in class aima.core.logic.propositional.kb.data.Clause
-
- isEmpty() - Method in class aima.core.search.csp.Domain
-
- isEmpty() - Method in class aima.core.search.csp.DomainRestoreInfo
-
- isEmpty() - Method in class aima.core.util.math.geom.CartesianPlot2D
-
Checks whether the plot does not contain any elements.
- isEmptyDomainFound() - Method in class aima.core.search.csp.DomainRestoreInfo
-
- isEndOfInput(Token) - Method in class aima.core.logic.fol.parsing.FOLParser
-
- isEntailed(KnowledgeBase, Sentence) - Method in interface aima.core.logic.propositional.inference.DPLL
-
Determine if KB |= α, i.e.
- isEntailed(KnowledgeBase, Sentence) - Method in class aima.core.logic.propositional.inference.DPLLSatisfiable
-
Determine if KB |= α, i.e.
- isEntailed(KnowledgeBase, Sentence) - Method in class aima.core.logic.propositional.inference.OptimizedDPLL
-
Determine if KB |= α, i.e.
- isEXISTS(String) - Static method in class aima.core.logic.fol.Quantifiers
-
- isFailure(List<Action>) - Static method in class aima.core.search.framework.SearchUtils
-
Checks whether a list of actions is empty.
- isFalse() - Method in class aima.core.logic.propositional.kb.data.Clause
-
If a clause is empty - a disjunction of no disjuncts - it is equivalent
to 'False' because a disjunction is true only if at least one of its
disjuncts is true.
- isFalse(PropositionSymbol) - Method in class aima.core.logic.propositional.kb.data.Model
-
- isFalse(Sentence) - Method in class aima.core.logic.propositional.kb.data.Model
-
- isFinite() - Method in class aima.core.probability.domain.AbstractContinuousDomain
-
- isFinite() - Method in class aima.core.probability.domain.AbstractDiscreteDomain
-
- isFinite() - Method in class aima.core.probability.domain.AbstractFiniteDomain
-
- isFinite() - Method in interface aima.core.probability.domain.Domain
-
- isFORALL(String) - Static method in class aima.core.logic.fol.Quantifiers
-
- isFrontierEmpty() - Method in class aima.core.search.framework.qsearch.BidirectionalSearch
-
Pops nodes of already explored states from the head of the frontier and
checks whether there are still some nodes left.
- isFrontierEmpty() - Method in class aima.core.search.framework.qsearch.GraphSearch
-
Pops nodes of already explored states from the head of the frontier
and checks whether there are still some nodes left.
- isFrontierEmpty() - Method in class aima.core.search.framework.qsearch.GraphSearchBFS
-
Checks whether there are still some nodes left.
- isFrontierEmpty() - Method in class aima.core.search.framework.qsearch.GraphSearchReducedFrontier
-
Checks whether the frontier contains not yet expanded nodes.
- isFrontierEmpty() - Method in class aima.core.search.framework.qsearch.QueueSearch
-
Primitive operation which checks whether the frontier contains not yet
expanded nodes.
- isFrontierEmpty() - Method in class aima.core.search.framework.qsearch.TreeSearch
-
Checks whether the frontier contains not yet expanded nodes.
- isGlitter() - Method in class aima.core.environment.wumpusworld.AgentPercept
-
- isGoalClause() - Method in class aima.core.logic.propositional.kb.data.Clause
-
Clauses with no positive literals are called goal clauses.
- isGoalState(Object) - Method in class aima.core.environment.eightpuzzle.EightPuzzleGoalTest
-
- isGoalState(Object) - Method in class aima.core.environment.nqueens.NQueensGenAlgoUtil.NQueensGenAlgoGoalTest
-
- isGoalState(Object) - Method in class aima.core.environment.nqueens.NQueensGoalTest
-
- isGoalState(Object) - Method in class aima.core.environment.vacuum.VacuumWorldGoalTest
-
Tests whether the search has identified a goal state
- isGoalState(Object) - Method in class aima.core.search.framework.problem.DefaultGoalTest
-
- isGoalState(Object) - Method in interface aima.core.search.framework.problem.GoalTest
-
Returns true if the given state is a goal state.
- isGoalState(Object) - Method in class aima.core.search.framework.problem.Problem
-
Returns true if the given state is a goal state.
- isGoalState(Problem, Node) - Static method in class aima.core.search.framework.SearchUtils
-
Calls the goal test of the problem and - if the goal test is effectively
a
SolutionChecker - additionally checks, whether the solution is
acceptable.
- isGoalState(Object) - Method in class aima.core.search.nondeterministic.NondeterministicProblem
-
Returns true if the given state is a goal state.
- isGoalState(Object) - Method in class aima.core.search.online.OnlineSearchProblem
-
Returns true if the given state is a goal state.
- isHeadingValid(P) - Method in interface aima.core.robotics.impl.map.IPoseFactory
-
Checks whether the heading of a pose is valid.
- isHornClause() - Method in class aima.core.logic.fol.kb.data.Clause
-
- isHornClause() - Method in class aima.core.logic.propositional.kb.data.Clause
-
Determine if a Horn clause.
- isImmutable() - Method in class aima.core.logic.fol.kb.data.Clause
-
- isImplicationDefiniteClause() - Method in class aima.core.logic.fol.kb.data.Clause
-
- isImplicationDefiniteClause() - Method in class aima.core.logic.propositional.kb.data.Clause
-
Determine if an implication definite clause.
- isImplicationSentence() - Method in class aima.core.logic.propositional.parsing.ast.Sentence
-
- isIMPLIES(String) - Static method in class aima.core.logic.fol.Connectors
-
- isInfinite() - Method in class aima.core.probability.domain.AbstractContinuousDomain
-
- isInfinite() - Method in class aima.core.probability.domain.AbstractDiscreteDomain
-
- isInfinite() - Method in class aima.core.probability.domain.AbstractFiniteDomain
-
- isInfinite() - Method in interface aima.core.probability.domain.Domain
-
- isInInterval(C) - Method in class aima.core.util.math.Interval
-
Returns true if the specified object is between the end
points of this interval.
- isInside(Point2D) - Method in class aima.core.util.math.geom.shapes.Circle2D
-
- isInside(Point2D) - Method in class aima.core.util.math.geom.shapes.Ellipse2D
-
- isInside(Point2D) - Method in interface aima.core.util.math.geom.shapes.IGeometric2D
-
Tests whether the point is inside this geometric shape excluding its border.
- isInside(Point2D) - Method in class aima.core.util.math.geom.shapes.Line2D
-
- isInside(Point2D) - Method in class aima.core.util.math.geom.shapes.Polyline2D
-
- isInside(Point2D) - Method in class aima.core.util.math.geom.shapes.Rect2D
-
- isInsideBorder(Point2D) - Method in class aima.core.util.math.geom.shapes.Circle2D
-
- isInsideBorder(Point2D) - Method in class aima.core.util.math.geom.shapes.Ellipse2D
-
- isInsideBorder(Point2D) - Method in interface aima.core.util.math.geom.shapes.IGeometric2D
-
Tests whether the point is inside this geometric shape including its border.
- isInsideBorder(Point2D) - Method in class aima.core.util.math.geom.shapes.Line2D
-
- isInsideBorder(Point2D) - Method in class aima.core.util.math.geom.shapes.Polyline2D
-
- isInsideBorder(Point2D) - Method in class aima.core.util.math.geom.shapes.Rect2D
-
- isLCVHeuristicEnabled - Variable in class aima.core.search.csp.ImprovedBacktrackingStrategy
-
- isLoaded() - Method in class aima.core.robotics.impl.map.MclCartesianPlot2D
-
Checks whether a map was loaded.
- isLocation(String) - Method in class aima.core.environment.map.ExtendableMap
-
Checks whether the given string is the name of a location.
- isLowerExclusive() - Method in class aima.core.util.math.Interval
-
Returns true if this interval is not lower inclusive.
- isLowerInclusive() - Method in class aima.core.util.math.Interval
-
Returns true if this interval is lower inclusive.
- isMatch() - Method in class aima.core.logic.fol.inference.AbstractModulation.IdentifyCandidateMatchingTerm
-
- isMultivalued(String) - Method in class aima.core.learning.knowledge.FOLDataSetDomain
-
- isNegativeLiteral() - Method in class aima.core.logic.fol.kb.data.Literal
-
- isNegativeLiteral() - Method in class aima.core.logic.propositional.kb.data.Literal
-
- isNonsingular() - Method in class aima.core.util.math.LUDecomposition
-
Is the matrix nonsingular?
- isNoOp() - Method in interface aima.core.agent.Action
-
Indicates whether or not this Action is a 'No Operation'.
Note: AIMA3e - NoOp, or no operation, is the name of an assembly language
instruction that does nothing.
- isNoOp() - Method in class aima.core.agent.impl.DynamicAction
-
- isNoOp() - Method in class aima.core.agent.impl.NoOpAction
-
- isNoOp() - Method in enum aima.core.environment.cellworld.CellWorldAction
-
- isNOT(String) - Static method in class aima.core.logic.fol.Connectors
-
- isNotSentence() - Method in class aima.core.logic.propositional.parsing.ast.Sentence
-
- isOR(String) - Static method in class aima.core.logic.fol.Connectors
-
- isOrdered() - Method in class aima.core.probability.domain.AbstractContinuousDomain
-
- isOrdered() - Method in class aima.core.probability.domain.AbstractDiscreteDomain
-
- isOrdered() - Method in class aima.core.probability.domain.AbstractFiniteDomain
-
- isOrdered() - Method in class aima.core.probability.domain.ArbitraryTokenDomain
-
- isOrdered() - Method in class aima.core.probability.domain.BooleanDomain
-
- isOrdered() - Method in interface aima.core.probability.domain.Domain
-
- isOrdered() - Method in class aima.core.probability.domain.FiniteIntegerDomain
-
- isOrSentence() - Method in class aima.core.logic.propositional.parsing.ast.Sentence
-
- isParallel(Vector2D) - Method in class aima.core.util.math.geom.shapes.Vector2D
-
Checks whether this vector and another vector are parallel to each other or rotated by 180 degrees to each other.
If one of the vectors is the zero vector this method always returns true.
- isPartialResultDueToTimeout() - Method in interface aima.core.logic.fol.inference.InferenceResult
-
- isPointInsideBorderShape(Point2D) - Method in class aima.core.util.math.geom.CartesianPlot2D
-
Checks whether the given point is on any of the shapes of the plot.
- isPointInsideShape(Point2D) - Method in class aima.core.util.math.geom.CartesianPlot2D
-
Checks whether the given point is inside any of the shapes of the plot.
- isPoseValid(P) - Method in interface aima.core.robotics.IMclMap
-
Verifies whether a pose is valid, that is inside the map boundaries and not within an obstacle.
- isPoseValid(P) - Method in class aima.core.robotics.impl.map.MclCartesianPlot2D
-
- isPositiveLiteral() - Method in class aima.core.logic.fol.kb.data.Literal
-
- isPositiveLiteral() - Method in class aima.core.logic.propositional.kb.data.Literal
-
- isPossiblyFalse() - Method in interface aima.core.logic.fol.inference.InferenceResult
-
- isPropositionSymbol(String) - Static method in class aima.core.logic.propositional.parsing.ast.PropositionSymbol
-
Determine if the given symbol is a legal proposition symbol.
- isPropositionSymbol() - Method in class aima.core.logic.propositional.parsing.ast.Sentence
-
- isPropositionSymbolIdentifierPart(char) - Static method in class aima.core.logic.propositional.parsing.ast.PropositionSymbol
-
Determine if the given character is part of a proposition symbol.
- isPropositionSymbolIdentifierStart(char) - Static method in class aima.core.logic.propositional.parsing.ast.PropositionSymbol
-
Determine if the given character can be at the beginning of a proposition
symbol.
- isRenaming(Literal) - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- isRenaming(Literal, List<Literal>) - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- isRoot() - Method in class aima.core.probability.bayes.impl.AbstractNode
-
- isRoot() - Method in interface aima.core.probability.bayes.Node
-
- isRootNode() - Method in class aima.core.search.framework.Node
-
Returns true if the node has no parent.
- isSatisfiedWith(Assignment) - Method in interface aima.core.search.csp.Constraint
-
Constrains the values that the variables can take on.
- isSatisfiedWith(Assignment) - Method in class aima.core.search.csp.examples.DiffNotEqualConstraint
-
- isSatisfiedWith(Assignment) - Method in class aima.core.search.csp.examples.NotEqualConstraint
-
- isScream() - Method in class aima.core.environment.wumpusworld.AgentPercept
-
- isSignificantlyBetter(double, double) - Method in class aima.core.environment.connectfour.ConnectFourAIPlayer
-
- isSignificantlyBetter(double, double) - Method in class aima.core.search.adversarial.IterativeDeepeningAlphaBetaSearch
-
Primitive operation which is used to stop iterative deepening search in
situations where a clear best action exists.
- isSolution(CSP) - Method in class aima.core.search.csp.Assignment
-
Returns true if this assignment is consistent as well as complete with
respect to the given CSP.
- isSquareUnderAttack(XYLocation) - Method in class aima.core.environment.nqueens.NQueensBoard
-
- isStandardizedApartCheckRequired() - Method in class aima.core.logic.fol.kb.data.Clause
-
- isStench() - Method in class aima.core.environment.wumpusworld.AgentPercept
-
- isTautology() - Method in class aima.core.logic.fol.kb.data.Clause
-
- isTautology() - Method in class aima.core.logic.propositional.kb.data.Clause
-
Determine if the clause represents a tautology, of which the following
are examples:
- isTerminal(ConnectFourState) - Method in class aima.core.environment.connectfour.ConnectFourGame
-
- isTerminal(TicTacToeState) - Method in class aima.core.environment.tictactoe.TicTacToeGame
-
- isTerminal(String) - Static method in class aima.core.nlp.parsing.grammars.ProbUnrestrictedGrammar
-
Check if we have a terminal, as they are lowercase strings
- isTerminal(STATE) - Method in interface aima.core.search.adversarial.Game
-
- isTrue() - Method in interface aima.core.logic.fol.inference.InferenceResult
-
- isTrue(PropositionSymbol) - Method in class aima.core.logic.propositional.kb.data.Model
-
- isTrue(Sentence) - Method in class aima.core.logic.propositional.kb.data.Model
-
- isUnarySentence() - Method in class aima.core.logic.propositional.parsing.ast.Sentence
-
- isUnitClause() - Method in class aima.core.logic.fol.kb.data.Clause
-
- isUnitClause() - Method in class aima.core.logic.propositional.kb.data.Clause
-
Determine if a clause is unit, i.e.
- isUnknown(Sentence) - Method in class aima.core.logic.propositional.kb.data.Model
-
- isUnknownDueToTimeout() - Method in interface aima.core.logic.fol.inference.InferenceResult
-
- isUpperExclusive() - Method in class aima.core.util.math.Interval
-
Returns true if this interval is upper exclusive.
- isUpperInclusive() - Method in class aima.core.util.math.Interval
-
Returns true if this interval is upper inclusive.
- isUseParamodulation() - Method in class aima.core.logic.fol.inference.FOLOTTERLikeTheoremProver
-
- isValid(String) - Method in interface aima.core.learning.framework.AttributeSpecification
-
- isValid(List<String>) - Method in class aima.core.learning.framework.DataSetSpecification
-
- isValid(String) - Method in class aima.core.learning.framework.NumericAttributeSpecification
-
- isValid(String) - Method in class aima.core.learning.framework.StringAttributeSpecification
-
- isValid() - Method in class aima.core.probability.bayes.model.FiniteBayesModel
-
- isValid() - Method in class aima.core.probability.full.FullJointDistributionModel
-
- isValid() - Method in interface aima.core.probability.ProbabilityModel
-
- isValidMatch(Term, Set<Variable>, Term, Map<Variable, Term>) - Method in class aima.core.logic.fol.inference.AbstractModulation
-
- isValidMatch(Term, Set<Variable>, Term, Map<Variable, Term>) - Method in class aima.core.logic.fol.inference.Demodulation
-
- isValidMatch(Term, Set<Variable>, Term, Map<Variable, Term>) - Method in class aima.core.logic.fol.inference.Paramodulation
-
- isVariable(String) - Static method in class aima.core.nlp.parsing.grammars.ProbUnrestrictedGrammar
-
Check if we have a variable, as they are uppercase strings.
- isVertexLabel(VertexLabelType) - Method in class aima.core.util.datastructure.LabeledGraph
-
Checks whether the given label is the label of one of the vertices.
- isWinMoveFor(int, int) - Method in class aima.core.environment.connectfour.ConnectFourState
-
- isWinPositionFor(int, int, int) - Method in class aima.core.environment.connectfour.ConnectFourState
-
- iterate(Map<RandomVariable, Object>, double) - Method in interface aima.core.probability.CategoricalDistribution.Iterator
-
Called for each possible assignment for the Random Variables
comprising this CategoricalDistribution.
- iterate(Map<RandomVariable, Object>, double) - Method in interface aima.core.probability.Factor.Iterator
-
Called for each possible assignment for the Random Variables
comprising this Factor.
- iterate(Map<RandomVariable, Object>, double) - Method in interface aima.core.probability.util.ProbabilityTable.Iterator
-
Called for each possible assignment for the Random Variables
comprising this ProbabilityTable.
- iterateOver(CategoricalDistribution.Iterator) - Method in interface aima.core.probability.CategoricalDistribution
-
Iterate over all the possible value assignments for the Random Variables
comprising this CategoricalDistribution.
- iterateOver(CategoricalDistribution.Iterator, AssignmentProposition...) - Method in interface aima.core.probability.CategoricalDistribution
-
Iterate over all possible values assignments for the Random Variables
comprising this CategoricalDistribution that are not in the fixed set of
values.
- iterateOver(Factor.Iterator) - Method in interface aima.core.probability.Factor
-
Iterate over all the possible value assignments for the Random Variables
comprising this Factor.
- iterateOver(Factor.Iterator, AssignmentProposition...) - Method in interface aima.core.probability.Factor
-
Iterate over all possible values assignments for the Random Variables
comprising this Factor that are not in the fixed set of values.
- iterateOver(CategoricalDistribution.Iterator) - Method in class aima.core.probability.util.ProbabilityTable
-
- iterateOver(CategoricalDistribution.Iterator, AssignmentProposition...) - Method in class aima.core.probability.util.ProbabilityTable
-
- iterateOver(Factor.Iterator) - Method in class aima.core.probability.util.ProbabilityTable
-
- iterateOver(Factor.Iterator, AssignmentProposition...) - Method in class aima.core.probability.util.ProbabilityTable
-
- iterateOverTable(ProbabilityTable.Iterator) - Method in class aima.core.probability.util.ProbabilityTable
-
Iterate over all the possible value assignments for the Random Variables
comprising this ProbabilityTable.
- iterateOverTable(ProbabilityTable.Iterator, AssignmentProposition...) - Method in class aima.core.probability.util.ProbabilityTable
-
Iterate over all possible values assignments for the Random Variables
comprising this ProbabilityTable that are not in the fixed set of values.
- ITERATIONS - Static variable in class aima.core.search.local.GeneticAlgorithm
-
- IterativeDeepeningAlphaBetaSearch<STATE,ACTION,PLAYER> - Class in aima.core.search.adversarial
-
Implements an iterative deepening Minimax search with alpha-beta pruning and
action ordering.
- IterativeDeepeningAlphaBetaSearch(Game<STATE, ACTION, PLAYER>, double, double, int) - Constructor for class aima.core.search.adversarial.IterativeDeepeningAlphaBetaSearch
-
Creates a new search object for a given game.
- IterativeDeepeningSearch - Class in aima.core.search.uninformed
-
Artificial Intelligence A Modern Approach (3rd Edition): Figure 3.18, page
89.
- IterativeDeepeningSearch() - Constructor for class aima.core.search.uninformed.IterativeDeepeningSearch
-
- IterativeDeepeningSearch(NodeExpander) - Constructor for class aima.core.search.uninformed.IterativeDeepeningSearch
-
- iterator() - Method in class aima.core.learning.framework.DataSet
-
- iterator() - Method in class aima.core.search.csp.Domain
-
- MACKAY - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfAustralia
-
- main(String[]) - Static method in class aima.core.nlp.parsing.RunCYK
-
- main(String[]) - Static method in class aima.core.nlp.ranking.RunHITS
-
- MajorityLearner - Class in aima.core.learning.learners
-
- MajorityLearner() - Constructor for class aima.core.learning.learners.MajorityLearner
-
- makeActionQuery(int) - Method in class aima.core.logic.propositional.agent.KBAgent
-
MAKE-ACTION-QUERY constructs a sentence that asks what action should be
done at the current time.
- makeActionSentence(Action, int) - Method in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
Add to KB sentences that describe the action a
- makeActionSentence(Action, int) - Method in class aima.core.logic.propositional.agent.KBAgent
-
MAKE-ACTION-SENTENCE constructs a sentence asserting that the chosen action was executed.
- makeArcConsistent(Variable, Variable, Constraint, CSP, DomainRestoreInfo) - Method in class aima.core.search.csp.TreeCSPSolver
-
- makeDecision(STATE) - Method in interface aima.core.search.adversarial.AdversarialSearch
-
Returns the action which appears to be the best at the given state.
- makeDecision(STATE) - Method in class aima.core.search.adversarial.AlphaBetaSearch
-
- makeDecision(STATE) - Method in class aima.core.search.adversarial.IterativeDeepeningAlphaBetaSearch
-
Template method controlling the search.
- makeDecision(STATE) - Method in class aima.core.search.adversarial.MinimaxSearch
-
- makePerceptSentence(AgentPercept, int) - Method in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
Add to KB sentences that describe the perception p
(only about the current time).
- makePerceptSentence(Percept, int) - Method in class aima.core.logic.propositional.agent.KBAgent
-
MAKE-PERCEPT-SENTENCE constructs a sentence asserting that the agent
perceived the given percent at the given time.
- makePerimeter() - Method in class aima.core.environment.xyenv.XYEnvironment
-
- makeSet(E) - Method in class aima.core.util.DisjointSets
-
Create a disjoint set for the element passed in.
- ManhattanHeuristicFunction - Class in aima.core.environment.eightpuzzle
-
- ManhattanHeuristicFunction() - Constructor for class aima.core.environment.eightpuzzle.ManhattanHeuristicFunction
-
- ManhattanHeuristicFunction - Class in aima.core.environment.wumpusworld
-
Heuristic for calculating the Manhattan distance between two rooms within a Wumpus World cave.
- ManhattanHeuristicFunction(Set<Room>) - Constructor for class aima.core.environment.wumpusworld.ManhattanHeuristicFunction
-
- Map - Interface in aima.core.environment.map
-
Provides a general interface for maps.
- map - Variable in class aima.core.environment.map.MapAgent
-
- map - Variable in class aima.core.environment.map.SimpleMapAgent
-
- MapAgent - Class in aima.core.environment.map
-
Variant of
SimpleMapAgent which works
correctly also for A* and other best-first search implementations.
- MapAgent(Map, SearchForActions, String) - Constructor for class aima.core.environment.map.MapAgent
-
- MapAgent(Map, SearchForActions, String, EnvironmentViewNotifier) - Constructor for class aima.core.environment.map.MapAgent
-
- MapAgent(Map, SearchForActions, List<String>) - Constructor for class aima.core.environment.map.MapAgent
-
- MapAgent(Map, SearchForActions, List<String>, EnvironmentViewNotifier) - Constructor for class aima.core.environment.map.MapAgent
-
- MapAgent(Map, SearchForActions, List<String>, EnvironmentViewNotifier, HeuristicFunctionFactory) - Constructor for class aima.core.environment.map.MapAgent
-
- MapCSP - Class in aima.core.search.csp.examples
-
Artificial Intelligence A Modern Approach (3rd Ed.): Figure 6.1, Page 204.
The principal states and territories of Australia.
- MapCSP() - Constructor for class aima.core.search.csp.examples.MapCSP
-
Constructs a map CSP for the principal states and territories of
Australia, with the colors Red, Green, and Blue.
- MapEnvironment - Class in aima.core.environment.map
-
Represents the environment a SimpleMapAgent can navigate.
- MapEnvironment(Map) - Constructor for class aima.core.environment.map.MapEnvironment
-
- MapEnvironmentState - Class in aima.core.environment.map
-
- MapEnvironmentState() - Constructor for class aima.core.environment.map.MapEnvironmentState
-
- MapFunctionFactory - Class in aima.core.environment.map
-
- MapFunctionFactory() - Constructor for class aima.core.environment.map.MapFunctionFactory
-
- MapStepCostFunction - Class in aima.core.environment.map
-
Implementation of StepCostFunction interface that uses the distance between
locations to calculate the cost in addition to a constant cost, so that it
may be used in conjunction with a Uniform-cost search.
- MapStepCostFunction(Map) - Constructor for class aima.core.environment.map.MapStepCostFunction
-
- marginal(RandomVariable...) - Method in interface aima.core.probability.CategoricalDistribution
-
Get the marginal probability for the provided variables from this
Distribution creating a new Distribution of the remaining variables with
their values updated with the summed out random variables.
see: AIMA3e page 492.
- marginal(RandomVariable...) - Method in class aima.core.probability.util.ProbabilityTable
-
- mark(XYLocation) - Method in class aima.core.environment.tictactoe.TicTacToeState
-
- mark(int, int) - Method in class aima.core.environment.tictactoe.TicTacToeState
-
- MarkovDecisionProcess<S,A extends Action> - Interface in aima.core.probability.mdp
-
Artificial Intelligence A Modern Approach (3rd Edition): page 647.
A sequential decision problem for a fully observable, stochastic environment
with a Markovian transition model and additive rewards is called a Markov
decision process, or MDP, and consists of a set of states (with an
initial state s0; a set ACTIONS(s) of actions in each state; a
transition model P(s' | s, a); and a reward function R(s).
Note: Some definitions of MDPs allow the reward to depend on the
action and outcome too, so the reward function is R(s, a, s').
- MARY_CALLS_RV - Static variable in class aima.core.probability.example.ExampleRV
-
- match(String) - Method in class aima.core.logic.common.Parser
-
Consume the given match symbol if it matches the current input token.
- match(String) - Method in class aima.core.logic.fol.parsing.FOLParser
-
- matchedExamples(DataSet) - Method in class aima.core.learning.inductive.DLTest
-
- matches(VacuumEnvironmentState, Agent) - Method in class aima.core.environment.vacuum.LocalVacuumEnvironmentPercept
-
Determine whether this percept matches an environment state
- matches(Example) - Method in class aima.core.learning.inductive.DLTest
-
- matches(String, String) - Method in class aima.core.nlp.ranking.HITS
-
Simple check if query string is a substring of a block of text.
- matchingDataSet(String, String) - Method in class aima.core.learning.framework.DataSet
-
- Matrix - Class in aima.core.util.math
-
Jama = Java Matrix class.
- Matrix(int, int) - Constructor for class aima.core.util.math.Matrix
-
Construct an m-by-n matrix of zeros.
- Matrix(int, int, double) - Constructor for class aima.core.util.math.Matrix
-
Construct an m-by-n constant matrix.
- Matrix(double[][]) - Constructor for class aima.core.util.math.Matrix
-
Construct a matrix from a 2-D array.
- Matrix(double[][], int, int) - Constructor for class aima.core.util.math.Matrix
-
Construct a matrix quickly without checking arguments.
- Matrix(double[], int) - Constructor for class aima.core.util.math.Matrix
-
Construct a matrix from a one-dimensional packed array
- max(int, int) - Static method in class aima.core.util.Util
-
- max(int, int, int) - Static method in class aima.core.util.Util
-
- maxValue(STATE, PLAYER, double, double) - Method in class aima.core.search.adversarial.AlphaBetaSearch
-
- maxValue(STATE, PLAYER, double, double, int) - Method in class aima.core.search.adversarial.IterativeDeepeningAlphaBetaSearch
-
- maxValue(STATE, PLAYER) - Method in class aima.core.search.adversarial.MinimaxSearch
-
- mbDistribution(Node, Map<RandomVariable, Object>) - Static method in class aima.core.probability.util.ProbUtil
-
Calculate the probability distribution for P(Xi |
mb(Xi)), where mb(Xi) is the Markov Blanket of
Xi.
- mbRandomSample(Node, Map<RandomVariable, Object>, Randomizer) - Static method in class aima.core.probability.util.ProbUtil
-
Get a random sample from P(Xi | mb(Xi)),
where mb(Xi) is the Markov Blanket of Xi.
- MclCartesianPlot2D<P extends IPose2D<P,M>,M extends IMclMove<M>,R extends AbstractRangeReading> - Class in aima.core.robotics.impl.map
-
This class implements the interface
IMclMap using the classes
Angle and
AbstractRangeReading.
It uses a parser that generates two sets of
IGeometric2D.
The first set describes obstacles that can be measured by the range sensor.
- MclCartesianPlot2D(IGroupParser, IGroupParser, IPoseFactory<P, M>, IRangeReadingFactory<R>) - Constructor for class aima.core.robotics.impl.map.MclCartesianPlot2D
-
- MDP<S,A extends Action> - Class in aima.core.probability.mdp.impl
-
Default implementation of the MarkovDecisionProcess interface.
- MDP(Set<S>, S, ActionsFunction<S, A>, TransitionProbabilityFunction<S, A>, RewardFunction<S>) - Constructor for class aima.core.probability.mdp.impl.MDP
-
- MDPFactory - Class in aima.core.probability.example
-
- MDPFactory() - Constructor for class aima.core.probability.example.MDPFactory
-
- MEHADIA - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfPartOfRomania
-
- MELBOURNE - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfAustralia
-
- MENINGITIS_RV - Static variable in class aima.core.probability.example.ExampleRV
-
- mergeWith(DecisionList) - Method in class aima.core.learning.inductive.DecisionList
-
- METRIC_MAX_QUEUE_SIZE - Static variable in class aima.core.search.framework.qsearch.QueueSearch
-
- METRIC_MAX_RECURSIVE_DEPTH - Static variable in class aima.core.search.informed.RecursiveBestFirstSearch
-
- METRIC_NODE_VALUE - Static variable in class aima.core.search.local.HillClimbingSearch
-
- METRIC_NODE_VALUE - Static variable in class aima.core.search.local.SimulatedAnnealingSearch
-
- METRIC_NODES_EXPANDED - Static variable in class aima.core.search.framework.qsearch.QueueSearch
-
- METRIC_NODES_EXPANDED - Static variable in class aima.core.search.informed.RecursiveBestFirstSearch
-
- METRIC_NODES_EXPANDED - Static variable in class aima.core.search.local.HillClimbingSearch
-
- METRIC_NODES_EXPANDED - Static variable in class aima.core.search.local.SimulatedAnnealingSearch
-
- METRIC_NODES_EXPANDED - Static variable in class aima.core.search.uninformed.DepthLimitedSearch
-
- METRIC_NODES_EXPANDED - Static variable in class aima.core.search.uninformed.IterativeDeepeningSearch
-
- METRIC_PATH_COST - Static variable in class aima.core.search.framework.qsearch.QueueSearch
-
- METRIC_PATH_COST - Static variable in class aima.core.search.informed.RecursiveBestFirstSearch
-
- METRIC_PATH_COST - Static variable in class aima.core.search.uninformed.DepthLimitedSearch
-
- METRIC_PATH_COST - Static variable in class aima.core.search.uninformed.IterativeDeepeningSearch
-
- METRIC_QUEUE_SIZE - Static variable in class aima.core.search.framework.qsearch.QueueSearch
-
- METRIC_TEMPERATURE - Static variable in class aima.core.search.local.SimulatedAnnealingSearch
-
- Metrics - Class in aima.core.search.framework
-
Stores key-value pairs for efficiency analysis.
- Metrics() - Constructor for class aima.core.search.framework.Metrics
-
- metrics - Variable in class aima.core.search.framework.qsearch.QueueSearch
-
- metrics - Variable in class aima.core.search.local.GeneticAlgorithm
-
- METRICS_MAX_DEPTH - Static variable in class aima.core.search.adversarial.IterativeDeepeningAlphaBetaSearch
-
- METRICS_NODES_EXPANDED - Static variable in class aima.core.search.adversarial.AlphaBetaSearch
-
- METRICS_NODES_EXPANDED - Static variable in class aima.core.search.adversarial.IterativeDeepeningAlphaBetaSearch
-
- METRICS_NODES_EXPANDED - Static variable in class aima.core.search.adversarial.MinimaxSearch
-
- min(int, int) - Static method in class aima.core.util.Util
-
- min(int, int, int) - Static method in class aima.core.util.Util
-
- MinConflictsStrategy - Class in aima.core.search.csp
-
Artificial Intelligence A Modern Approach (3rd Ed.): Figure 6.8, Page 221.
- MinConflictsStrategy(int) - Constructor for class aima.core.search.csp.MinConflictsStrategy
-
Constructs a min-conflicts strategy with a given number of steps allowed
before giving up.
- MinimaxSearch<STATE,ACTION,PLAYER> - Class in aima.core.search.adversarial
-
Artificial Intelligence A Modern Approach (3rd Edition): page 169.
- MinimaxSearch(Game<STATE, ACTION, PLAYER>) - Constructor for class aima.core.search.adversarial.MinimaxSearch
-
- minus(List<PropositionSymbol>, PropositionSymbol) - Method in class aima.core.logic.propositional.inference.DPLLSatisfiable
-
- minus(List<PropositionSymbol>, PropositionSymbol) - Method in class aima.core.logic.propositional.inference.OptimizedDPLL
-
- minus(Matrix) - Method in class aima.core.util.math.Matrix
-
C = A - B
- minus(Vector) - Method in class aima.core.util.math.Vector
-
Returns the result of vector subtraction.
- minusEquals(Matrix) - Method in class aima.core.util.math.Matrix
-
A = A - B
- minValue(STATE, PLAYER, double, double) - Method in class aima.core.search.adversarial.AlphaBetaSearch
-
- minValue(STATE, PLAYER, double, double, int) - Method in class aima.core.search.adversarial.IterativeDeepeningAlphaBetaSearch
-
- minValue(STATE, PLAYER) - Method in class aima.core.search.adversarial.MinimaxSearch
-
- MisplacedTilleHeuristicFunction - Class in aima.core.environment.eightpuzzle
-
- MisplacedTilleHeuristicFunction() - Constructor for class aima.core.environment.eightpuzzle.MisplacedTilleHeuristicFunction
-
- MixedRadixNumber - Class in aima.core.util.math
-
- MixedRadixNumber(long, int[]) - Constructor for class aima.core.util.math.MixedRadixNumber
-
Constructs a mixed radix number with a specified value and a specified
array of radices.
- MixedRadixNumber(long, List<Integer>) - Constructor for class aima.core.util.math.MixedRadixNumber
-
Constructs a mixed radix number with a specified value and a specified
list of radices.
- MixedRadixNumber(int[], int[]) - Constructor for class aima.core.util.math.MixedRadixNumber
-
Constructs a mixed radix number with a specified array of numerals and a
specified array of radices.
- MockRandomizer - Class in aima.core.util
-
Mock implementation of the Randomizer interface so that the set of Random
numbers returned are in fact predefined.
- MockRandomizer(double[]) - Constructor for class aima.core.util.MockRandomizer
-
- mode(List<T>) - Static method in class aima.core.util.Util
-
- Model - Interface in aima.core.agent
-
Artificial Intelligence A Modern Approach (3rd Edition): pg 50.
This knowledge about "how the world works" - whether implemented in simple
Boolean circuits or in complete scientific theories - is called a model of
the world.
- Model - Class in aima.core.logic.propositional.kb.data
-
Artificial Intelligence A Modern Approach (3rd Edition): pages 240, 245.
Models are mathematical abstractions, each of which simply fixes the truth or
falsehood of every relevant sentence.
- Model() - Constructor for class aima.core.logic.propositional.kb.data.Model
-
Default Constructor.
- Model(Map<PropositionSymbol, Boolean>) - Constructor for class aima.core.logic.propositional.kb.data.Model
-
- ModelBasedReflexAgentProgram - Class in aima.core.agent.impl.aprog
-
Artificial Intelligence A Modern Approach (3rd Edition): Figure 2.12, page
51.
- ModelBasedReflexAgentProgram() - Constructor for class aima.core.agent.impl.aprog.ModelBasedReflexAgentProgram
-
- ModelBasedReflexVacuumAgent - Class in aima.core.environment.vacuum
-
- ModelBasedReflexVacuumAgent() - Constructor for class aima.core.environment.vacuum.ModelBasedReflexVacuumAgent
-
- ModifiedPolicyEvaluation<S,A extends Action> - Class in aima.core.probability.mdp.impl
-
Artificial Intelligence A Modern Approach (3rd Edition): page 657.
For small state spaces, policy evaluation using exact solution methods is
often the most efficient approach.
- ModifiedPolicyEvaluation(int, double) - Constructor for class aima.core.probability.mdp.impl.ModifiedPolicyEvaluation
-
Constructor.
- MonteCarloLocalization<P extends IMclPose<P,V,M>,V extends IMclVector,M extends IMclMove<M>,R extends IMclRangeReading<R,V>> - Class in aima.core.robotics
-
Artificial Intelligence A Modern Approach (3rd Edition): page 982.
- MonteCarloLocalization(IMclMap<P, V, M, R>, Randomizer) - Constructor for class aima.core.robotics.MonteCarloLocalization
-
- MOUNT_GAMBIER - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfAustralia
-
- MOVE_QUEEN - Static variable in class aima.core.environment.nqueens.QueenAction
-
- moveGapDown() - Method in class aima.core.environment.eightpuzzle.EightPuzzleBoard
-
- moveGapLeft() - Method in class aima.core.environment.eightpuzzle.EightPuzzleBoard
-
- moveGapRight() - Method in class aima.core.environment.eightpuzzle.EightPuzzleBoard
-
- moveGapUp() - Method in class aima.core.environment.eightpuzzle.EightPuzzleBoard
-
- MoveNotInwards - Class in aima.core.logic.propositional.visitors
-
Artificial Intelligence A Modern Approach (3rd Edition): page 254.
Move ~ inwards by repeated application of the following equivalences:
~(~α) ≡ α (double-negation elimination)
~(α & β) ≡ (~α | ~β) (De Morgan)
~(α | β) ≡ (~α & ~β) (De Morgan)
- MoveNotInwards() - Constructor for class aima.core.logic.propositional.visitors.MoveNotInwards
-
- moveNotsInward(Sentence) - Static method in class aima.core.logic.propositional.visitors.MoveNotInwards
-
Move ~ inwards.
- moveObject(EnvironmentObject, XYLocation.Direction) - Method in class aima.core.environment.xyenv.XYEnvironment
-
- moveObjectToAbsoluteLocation(EnvironmentObject, XYLocation) - Method in class aima.core.environment.xyenv.XYEnvironment
-
- moveQueen(XYLocation, XYLocation) - Method in class aima.core.environment.nqueens.NQueensBoard
-
- moveQueenTo(XYLocation) - Method in class aima.core.environment.nqueens.NQueensBoard
-
Moves the queen in the specified column (x-value of l) to
the specified row (y-value of l).
- MoveToAction - Class in aima.core.environment.map
-
- MoveToAction(String) - Constructor for class aima.core.environment.map.MoveToAction
-
- MT_ISA - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfAustralia
-
- multiply(TransformMatrix2D) - Method in class aima.core.util.math.geom.shapes.TransformMatrix2D
-
Multiplies this matrix with another transformation matrix.
- multiply(Point2D) - Method in class aima.core.util.math.geom.shapes.TransformMatrix2D
-
Multiplies this transformation matrix with a given point.
For a multiplication in two-dimensional Cartesian space the third field is set to 1:
- multiply(double) - Method in class aima.core.util.math.geom.shapes.Vector2D
-
Multiplies a vector with a double.
- multiplyBy(CategoricalDistribution) - Method in interface aima.core.probability.CategoricalDistribution
-
Multiplication of this Distribution by a given multiplier, creating a new
Distribution representing the product of the two.
- multiplyBy(CategoricalDistribution) - Method in class aima.core.probability.util.ProbabilityTable
-
- multiplyByPOS(CategoricalDistribution, RandomVariable...) - Method in interface aima.core.probability.CategoricalDistribution
-
Multiplication - Product Order Specified (POS).
- multiplyByPOS(CategoricalDistribution, RandomVariable...) - Method in class aima.core.probability.util.ProbabilityTable
-
- mutate(Individual<A>) - Method in class aima.core.search.local.GeneticAlgorithm
-
- mutate(Individual<Double>) - Method in class aima.core.search.local.GeneticAlgorithmForNumbers
-
Changes each component in the representation by random.
- mutationProbability - Variable in class aima.core.search.local.GeneticAlgorithm
-
- Page - Class in aima.core.nlp.ranking
-
- Page(String) - Constructor for class aima.core.nlp.ranking.Page
-
- PagesDataset - Class in aima.core.nlp.ranking
-
- PagesDataset() - Constructor for class aima.core.nlp.ranking.PagesDataset
-
- Pair<X,Y> - Class in aima.core.util.datastructure
-
- Pair(X, Y) - Constructor for class aima.core.util.datastructure.Pair
-
Constructs a Pair from two given elements
- Paramodulation - Class in aima.core.logic.fol.inference
-
Artificial Intelligence A Modern Approach (3r Edition): page 354.
Paramodulation: For any terms x, y, and z, where z appears somewhere
in literal mi, and where UNIFY(x,z) = θ,
- Paramodulation() - Constructor for class aima.core.logic.fol.inference.Paramodulation
-
- parent - Variable in class aima.core.search.csp.TreeCSPSolver
-
- parse(String) - Method in class aima.core.logic.common.Parser
-
Parse the input concrete syntax into an abstract syntax tree.
- parse(Reader) - Method in class aima.core.logic.common.Parser
-
Parse the input concrete syntax into an abstract syntax tree.
- parse() - Method in class aima.core.logic.common.Parser
-
To be implemented by concrete implementations of this class.
- parse(String) - Method in class aima.core.logic.fol.parsing.FOLParser
-
- parse() - Method in class aima.core.logic.propositional.parsing.PLParser
-
- parse(List<String>, ProbCNFGrammar) - Method in class aima.core.nlp.parsing.CYK
-
- parse(InputStream, String) - Method in interface aima.core.util.math.geom.IGroupParser
-
Parses the given File into a group of geometric shapes.
- parse(InputStream, String) - Method in class aima.core.util.math.geom.SVGGroupParser
-
Parses the given InputStream into a group of geometric shapes.
- parseConstant() - Method in class aima.core.logic.fol.parsing.FOLParser
-
- parseFunction() - Method in class aima.core.logic.fol.parsing.FOLParser
-
- parseNotSentence() - Method in class aima.core.logic.fol.parsing.FOLParser
-
- parsePredicate() - Method in class aima.core.logic.fol.parsing.FOLParser
-
- Parser<S> - Class in aima.core.logic.common
-
An abstract base class for constructing parsers for knowledge representation
languages.
- Parser() - Constructor for class aima.core.logic.common.Parser
-
- ParserException - Exception in aima.core.logic.common
-
A runtime exception to be used to describe Parser exceptions.
- ParserException(String, Token...) - Constructor for exception aima.core.logic.common.ParserException
-
- ParserException(String, Throwable, Token...) - Constructor for exception aima.core.logic.common.ParserException
-
- parseTermEquality() - Method in class aima.core.logic.fol.parsing.FOLParser
-
- ParseTreeNode - Interface in aima.core.logic.common
-
- parseVariable() - Method in class aima.core.logic.fol.parsing.FOLParser
-
- ParticleFiltering - Class in aima.core.probability.bayes.approx
-
Artificial Intelligence A Modern Approach (3rd Edition): page 598.
- ParticleFiltering(int, DynamicBayesianNetwork) - Constructor for class aima.core.probability.bayes.approx.ParticleFiltering
-
Construct a Particle Filtering instance.
- ParticleFiltering(int, DynamicBayesianNetwork, Randomizer) - Constructor for class aima.core.probability.bayes.approx.ParticleFiltering
-
Construct a Particle Filtering instance.
- particleFiltering(AssignmentProposition[]) - Method in class aima.core.probability.bayes.approx.ParticleFiltering
-
The particle filtering algorithm implemented as a recursive update
operation with state (the set of samples).
- PassiveADPAgent<S,A extends Action> - Class in aima.core.learning.reinforcement.agent
-
Artificial Intelligence A Modern Approach (3rd Edition): page 834.
- PassiveADPAgent(Map<S, A>, Set<S>, S, ActionsFunction<S, A>, PolicyEvaluation<S, A>) - Constructor for class aima.core.learning.reinforcement.agent.PassiveADPAgent
-
Constructor.
- PassiveTDAgent<S,A extends Action> - Class in aima.core.learning.reinforcement.agent
-
Artificial Intelligence A Modern Approach (3rd Edition): page 837.
- PassiveTDAgent(Map<S, A>, double, double) - Constructor for class aima.core.learning.reinforcement.agent.PassiveTDAgent
-
Constructor.
- Path - Class in aima.core.search.nondeterministic
-
Represents the path the agent travels through the AND-OR tree (see figure
4.10, page 135, AIMA3e).
- Path() - Constructor for class aima.core.search.nondeterministic.Path
-
- PathCostFunction - Class in aima.core.search.framework.evalfunc
-
Artificial Intelligence A Modern Approach (3rd Edition): page 78.
- PathCostFunction() - Constructor for class aima.core.search.framework.evalfunc.PathCostFunction
-
- Percept - Interface in aima.core.agent
-
Artificial Intelligence A Modern Approach (3rd Edition): pg 34.
We use the term percept to refer the agent's perceptual inputs at any given
instant.
- PERCEPT_BREEZE - Static variable in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- PERCEPT_BUMP - Static variable in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- PERCEPT_GLITTER - Static variable in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- PERCEPT_IN - Static variable in class aima.core.environment.map.DynAttributeNames
-
Name of a dynamic attribute, which tells the agent where it is.
- PERCEPT_SCREAM - Static variable in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- PERCEPT_STENCH - Static variable in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- Perceptron - Class in aima.core.learning.neural
-
- Perceptron(int, int) - Constructor for class aima.core.learning.neural.Perceptron
-
- PerceptStateReward<S> - Interface in aima.core.learning.reinforcement
-
Artificial Intelligence A Modern Approach (3rd Edition): page 832.
A percept that supplies both the current state and the reward received in
that state.
- PerceptToStateFunction - Interface in aima.core.search.framework
-
This interface is to define how to Map a Percept to a State representation
for a problem solver within a specific environment.
- performanceMeasures - Variable in class aima.core.agent.impl.AbstractEnvironment
-
- performMove() - Method in interface aima.core.robotics.IMclRobot
-
Causes the robot to perform a movement.
- PERTH - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfAustralia
-
- PIT - Static variable in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- PITESTI - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfPartOfRomania
-
- PLACE_QUEEN - Static variable in class aima.core.environment.nqueens.QueenAction
-
- plan - Variable in class aima.core.search.framework.ProblemSolvingAgent
-
Plan, an action sequence, initially empty.
- Plan - Class in aima.core.search.nondeterministic
-
Represents a solution plan for an AND-OR search; according to page 135
AIMA3e, the plan must be "a subtree that (1) has a goal node at every leaf,
(2) specifies one Object at each of its OR nodes, and (3) includes every
outcome branch at each of its AND nodes." As demonstrated on page 136, this
subtree is implemented as a linked list where every OR node is an Object--
satisfying (2)--and every AND node is an if-state-then-plan-else
chain--satisfying (3).
- Plan() - Constructor for class aima.core.search.nondeterministic.Plan
-
Empty constructor
- Plan(Object...) - Constructor for class aima.core.search.nondeterministic.Plan
-
Construct a plan based on a sequence of steps (IfStateThenPlan or a
Plan).
- planRoute(AgentPosition, Set<Room>, Set<Room>) - Method in class aima.core.environment.wumpusworld.HybridWumpusAgent
-
Returns a sequence of actions using A* Search.
- planShot(AgentPosition, Set<Room>, Set<Room>) - Method in class aima.core.environment.wumpusworld.HybridWumpusAgent
-
- PLFCEntails - Class in aima.core.logic.propositional.inference
-
Artificial Intelligence A Modern Approach (3rd Edition): page 258.
- PLFCEntails() - Constructor for class aima.core.logic.propositional.inference.PLFCEntails
-
- plfcEntails(KnowledgeBase, PropositionSymbol) - Method in class aima.core.logic.propositional.inference.PLFCEntails
-
PL-FC-ENTAILS?(KB, q)
The forward-chaining algorithm for propositional logic.
- PLLexer - Class in aima.core.logic.propositional.parsing
-
A concrete implementation of a lexical analyzer for the propositional language.
- PLLexer() - Constructor for class aima.core.logic.propositional.parsing.PLLexer
-
Default Constructor.
- PLLexer(String) - Constructor for class aima.core.logic.propositional.parsing.PLLexer
-
Constructs a propositional expression lexer with the specified character
stream.
- PLParser - Class in aima.core.logic.propositional.parsing
-
Artificial Intelligence A Modern Approach (3rd Edition): Figure 7.7, page
244.
Implementation of a propositional logic parser based on:
- PLParser() - Constructor for class aima.core.logic.propositional.parsing.PLParser
-
Default Constructor.
- PLResolution - Class in aima.core.logic.propositional.inference
-
Artificial Intelligence A Modern Approach (3rd Edition): page 255.
- PLResolution() - Constructor for class aima.core.logic.propositional.inference.PLResolution
-
Default constructor, which will set the algorithm to discard tautologies
by default.
- PLResolution(boolean) - Constructor for class aima.core.logic.propositional.inference.PLResolution
-
Constructor.
- plResolution(KnowledgeBase, Sentence) - Method in class aima.core.logic.propositional.inference.PLResolution
-
PL-RESOLUTION(KB, α)
A simple resolution algorithm for propositional logic.
- plResolve(Clause, Clause) - Method in class aima.core.logic.propositional.inference.PLResolution
-
PL-RESOLVE(Ci, Cj)
Calculate the set of all possible clauses by resolving its two inputs.
- plus(Matrix) - Method in class aima.core.util.math.Matrix
-
C = A + B
- plus(Vector) - Method in class aima.core.util.math.Vector
-
Returns the result of vector addition.
- plusEquals(Matrix) - Method in class aima.core.util.math.Matrix
-
A = A + B
- PLVisitor<A,R> - Interface in aima.core.logic.propositional.parsing
-
Propositional Logic Visitor: A
Visitor Pattern/ for
traversing the abstract syntax tree structural representation of
propositional logic used in this library.
- Point2D - Class in aima.core.util.math.geom.shapes
-
Simplified version of java.awt.geom.Point2D.
- Point2D(double, double) - Constructor for class aima.core.util.math.geom.shapes.Point2D
-
- pointwiseProduct(Factor) - Method in interface aima.core.probability.Factor
-
Pointwise multiplication of this Factor by a given multiplier, creating a
new Factor representing the product of the two.
see: AIMA3e Figure 14.10 page 527.
Note: Default Factor multiplication is not commutative.
- pointwiseProduct(Factor) - Method in class aima.core.probability.util.ProbabilityTable
-
- pointwiseProduct(ProbabilityTable) - Method in class aima.core.probability.util.ProbabilityTable
-
- pointwiseProductPOS(Factor, RandomVariable...) - Method in interface aima.core.probability.Factor
-
Pointwise Multiplication - Product Order Specified (POS).
see: AIMA3e Figure 14.10 page 527.
Pointwise multiplication of this Factor by a given multiplier, creating a
new Factor representing the product of the two.
- pointwiseProductPOS(Factor, RandomVariable...) - Method in class aima.core.probability.util.ProbabilityTable
-
- pointwiseProductPOS(ProbabilityTable, RandomVariable...) - Method in class aima.core.probability.util.ProbabilityTable
-
- Policy<S,A extends Action> - Interface in aima.core.probability.mdp
-
Artificial Intelligence A Modern Approach (3rd Edition): page 647.
A solution to a Markov decision process is called a policy.
- PolicyEvaluation<S,A extends Action> - Interface in aima.core.probability.mdp
-
Artificial Intelligence A Modern Approach (3rd Edition): page 656.
Given a policy πi, calculate
Ui=Uπi, the utility of each state if
πi were to be executed.
- PolicyIteration<S,A extends Action> - Class in aima.core.probability.mdp.search
-
Artificial Intelligence A Modern Approach (3rd Edition): page 657.
- PolicyIteration(PolicyEvaluation<S, A>) - Constructor for class aima.core.probability.mdp.search.PolicyIteration
-
Constructor.
- policyIteration(MarkovDecisionProcess<S, A>) - Method in class aima.core.probability.mdp.search.PolicyIteration
-
The policy iteration algorithm for calculating an optimal policy.
- Polyline2D - Class in aima.core.util.math.geom.shapes
-
This class implements a polyline in a two-dimensional Cartesian plot.
The polyline is represented by a starting point represented by
Point2D and all edges as
Vector2D.
If the last side ends in the starting point the polyline is a closed polygon.
- Polyline2D(Point2D[], boolean) - Constructor for class aima.core.util.math.geom.shapes.Polyline2D
-
- POPULATION_SIZE - Static variable in class aima.core.search.local.GeneticAlgorithm
-
- PORT_AUGUSTA - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfAustralia
-
- PORT_HEDLAND - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfAustralia
-
- PORT_LINCOLN - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfAustralia
-
- PORT_MACQUARIE - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfAustralia
-
- possibleAttributeValues() - Method in class aima.core.learning.framework.StringAttributeSpecification
-
- posterior(Proposition, Proposition...) - Method in class aima.core.probability.bayes.model.FiniteBayesModel
-
- posterior(Proposition, Proposition...) - Method in class aima.core.probability.full.FullJointDistributionModel
-
- posterior(Proposition, Proposition...) - Method in interface aima.core.probability.ProbabilityModel
-
Unlike unconditional or prior probabilities, most of the time we have
some information, usually called evidence, that has already been
revealed.
- posteriorDistribution(Proposition, Proposition...) - Method in class aima.core.probability.bayes.model.FiniteBayesModel
-
- posteriorDistribution(Proposition, Proposition...) - Method in interface aima.core.probability.FiniteProbabilityModel
-
Get a conditional distribution.
- posteriorDistribution(Proposition, Proposition...) - Method in class aima.core.probability.full.FullJointDistributionModel
-
- posteriorForParents(RandomVariable) - Method in class aima.core.probability.bayes.exact.EnumerationAsk.ObservedEvidence
-
- PREDICATE - Static variable in interface aima.core.logic.common.LogicTokenTypes
-
- Predicate - Class in aima.core.logic.fol.parsing.ast
-
- Predicate(String, List<Term>) - Constructor for class aima.core.logic.fol.parsing.ast.Predicate
-
- PredicateCollector - Class in aima.core.logic.fol
-
- PredicateCollector() - Constructor for class aima.core.logic.fol.PredicateCollector
-
- predict(Example) - Method in interface aima.core.learning.framework.Learner
-
Returns the outcome predicted for the specified example
- predict(Example) - Method in class aima.core.learning.inductive.ConstantDecisonTree
-
- predict(Example) - Method in class aima.core.learning.inductive.DecisionList
-
- predict(Example) - Method in class aima.core.learning.inductive.DecisionTree
-
- predict(Example) - Method in class aima.core.learning.learners.AdaBoostLearner
-
- predict(Example) - Method in class aima.core.learning.learners.CurrentBestLearner
-
- predict(Example) - Method in class aima.core.learning.learners.DecisionListLearner
-
- predict(Example) - Method in class aima.core.learning.learners.DecisionTreeLearner
-
- predict(Example) - Method in class aima.core.learning.learners.MajorityLearner
-
- predict(NNExample) - Method in class aima.core.learning.neural.FeedForwardNeuralNetwork
-
- predict(NNExample) - Method in class aima.core.learning.neural.Perceptron
-
Returns the outcome predicted for the specified example
- prepend(Object) - Method in class aima.core.search.nondeterministic.Path
-
Create a new path based on the passed in prepended state and this path's
current states.
- prepend(Action) - Method in class aima.core.search.nondeterministic.Plan
-
Prepend an action to the plan and return itself.
- print() - Method in class aima.core.environment.nqueens.NQueensBoard
-
- print() - Method in class aima.core.logic.propositional.kb.data.Model
-
- print(int, int) - Method in class aima.core.util.math.Matrix
-
Print the matrix to stdout.
- print(PrintWriter, int, int) - Method in class aima.core.util.math.Matrix
-
Print the matrix to the output stream.
- print(NumberFormat, int) - Method in class aima.core.util.math.Matrix
-
Print the matrix to stdout.
- print(PrintWriter, NumberFormat, int) - Method in class aima.core.util.math.Matrix
-
Print the matrix to the output stream.
- printInferenceResult(InferenceResult) - Static method in class aima.core.logic.fol.inference.InferenceResultPrinter
-
Utility method for outputting InferenceResults in a formatted textual
representation.
- printProbTable(float[][][], List<String>, ProbUnrestrictedGrammar) - Method in class aima.core.nlp.parsing.CYK
-
Print out the probability table produced by the CYK Algorithm
- printProof(Proof) - Static method in class aima.core.logic.fol.inference.proof.ProofPrinter
-
Utility method for outputting proofs in a formatted textual
representation.
- prior(Proposition...) - Method in class aima.core.probability.bayes.model.FiniteBayesModel
-
- prior(Proposition...) - Method in class aima.core.probability.full.FullJointDistributionModel
-
- prior(Proposition...) - Method in interface aima.core.probability.ProbabilityModel
-
For any proposition φ, P(φ) = ∑ω ∈
φ P(ω).
- priorDistribution(Proposition...) - Method in class aima.core.probability.bayes.model.FiniteBayesModel
-
- priorDistribution(Proposition...) - Method in interface aima.core.probability.FiniteProbabilityModel
-
P(X,...)
- priorDistribution(Proposition...) - Method in class aima.core.probability.full.FullJointDistributionModel
-
- PrioritySearch - Class in aima.core.search.framework
-
Performs search by creating a priority queue based on a given
Comparator and feeding it to a given QueueSearch
implementation which finally controls the simulated search space exploration.
- PrioritySearch(QueueSearch, Comparator<Node>) - Constructor for class aima.core.search.framework.PrioritySearch
-
- PriorSample - Class in aima.core.probability.bayes.approx
-
Artificial Intelligence A Modern Approach (3rd Edition): page 531.
- PriorSample() - Constructor for class aima.core.probability.bayes.approx.PriorSample
-
- PriorSample(Randomizer) - Constructor for class aima.core.probability.bayes.approx.PriorSample
-
- priorSample(BayesianNetwork) - Method in class aima.core.probability.bayes.approx.PriorSample
-
The PRIOR-SAMPLE algorithm in Figure 14.13.
- PROB - Variable in class aima.core.nlp.parsing.grammars.Rule
-
- PROB_CONTEXT_FREE - Static variable in class aima.core.nlp.parsing.grammars.ProbUnrestrictedGrammar
-
- ProbabilisticGrammar - Interface in aima.core.nlp.parsing.grammars
-
- probability(S, S, A) - Method in interface aima.core.probability.mdp.TransitionProbabilityFunction
-
Return the probability of going from state s using action a to s' based
on the underlying transition model P(s' | s, a).
- ProbabilityDensity - Interface in aima.core.probability
-
Artificial Intelligence A Modern Approach (3rd Edition): page 487.
A probability distribution for continuous random variables.
- ProbabilityDistribution - Interface in aima.core.probability
-
Artificial Intelligence A Modern Approach (3rd Edition): page 487.
A probability distribution is a function that assigns probabilities to events
(sets of possible worlds).
Note: This definition is slightly different than that given in AIMA3e
pg.
- probabilityFor(Object...) - Method in class aima.core.probability.bayes.impl.CPT
-
- ProbabilityMass - Interface in aima.core.probability
-
Artificial Intelligence A Modern Approach (3rd Edition): page 487.
A probability distribution for discrete random variables.
- ProbabilityModel - Interface in aima.core.probability
-
Artificial Intelligence A Modern Approach (3rd Edition): page 484.
A fully specified probability model associates a numerical probability
P(ω) with each possible world.
- probabilityOf(T) - Method in class aima.core.util.FrequencyCounter
-
Returns the count to which the specified key is mapped in this frequency
counter, divided by the total of all counts.
- probabilityOfAcceptance(double, double) - Method in class aima.core.search.local.SimulatedAnnealingSearch
-
Returns e&deltaE / T
- ProbabilityTable - Class in aima.core.probability.util
-
A Utility Class for associating values with a set of finite Random Variables.
- ProbabilityTable(Collection<RandomVariable>) - Constructor for class aima.core.probability.util.ProbabilityTable
-
- ProbabilityTable(RandomVariable...) - Constructor for class aima.core.probability.util.ProbabilityTable
-
- ProbabilityTable(double[], RandomVariable...) - Constructor for class aima.core.probability.util.ProbabilityTable
-
- ProbabilityTable.Iterator - Interface in aima.core.probability.util
-
Interface to be implemented by an object/algorithm that wishes to iterate
over the possible assignments for the random variables comprising this
table.
- ProbCNFGrammar - Class in aima.core.nlp.parsing.grammars
-
The CYK algorithm exploits the structure of grammars in
Chomsky Normal Form in order to parse efficiently.
- ProbCNFGrammar() - Constructor for class aima.core.nlp.parsing.grammars.ProbCNFGrammar
-
- ProbCNFGrammar(ProbCNFGrammar) - Constructor for class aima.core.nlp.parsing.grammars.ProbCNFGrammar
-
- ProbCNFGrammarExamples - Class in aima.core.nlp.data.grammars
-
A store of example Probabilistic Chomsky-Normal-Form grammars for testing and
demonstrating CYK.
- ProbCNFGrammarExamples() - Constructor for class aima.core.nlp.data.grammars.ProbCNFGrammarExamples
-
- ProbContextFreeExamples - Class in aima.core.nlp.data.grammars
-
- ProbContextFreeExamples() - Constructor for class aima.core.nlp.data.grammars.ProbContextFreeExamples
-
- ProbContextFreeGrammar - Class in aima.core.nlp.parsing.grammars
-
- ProbContextFreeGrammar() - Constructor for class aima.core.nlp.parsing.grammars.ProbContextFreeGrammar
-
- ProbContextSensitiveGrammar - Class in aima.core.nlp.parsing.grammars
-
A context-sensitive grammar is less restrictive than context-free and more powerful, but
more restrictive than an unrestricted grammar (an less powerfull).
- ProbContextSensitiveGrammar() - Constructor for class aima.core.nlp.parsing.grammars.ProbContextSensitiveGrammar
-
- Problem - Class in aima.core.search.framework.problem
-
Artificial Intelligence A Modern Approach (3rd Edition): page 66.
A problem can be defined formally by five components:
The initial state that the agent starts in.
A description of the possible actions available to the agent.
- Problem(Object, ActionsFunction, ResultFunction, GoalTest) - Constructor for class aima.core.search.framework.problem.Problem
-
Constructs a problem with the specified components, and a default step
cost function (i.e.
- Problem(Object, ActionsFunction, ResultFunction, GoalTest, StepCostFunction) - Constructor for class aima.core.search.framework.problem.Problem
-
Constructs a problem with the specified components, which includes a step
cost function.
- Problem() - Constructor for class aima.core.search.framework.problem.Problem
-
- ProblemSolvingAgent - Class in aima.core.search.framework
-
Modified copy of class
aima.search.framework.SimpleProblemSolvingAgent which can be used for
online search, too.
- ProblemSolvingAgent() - Constructor for class aima.core.search.framework.ProblemSolvingAgent
-
- ProbUnrestrictedGrammar - Class in aima.core.nlp.parsing.grammars
-
Represents the most general grammatical formalism,
the Unrestricted (or Recrusively Enumerable) Grammar.
- ProbUnrestrictedGrammar() - Constructor for class aima.core.nlp.parsing.grammars.ProbUnrestrictedGrammar
-
- ProbUtil - Class in aima.core.probability.util
-
- ProbUtil() - Constructor for class aima.core.probability.util.ProbUtil
-
- processError(FeedForwardNeuralNetwork, Vector) - Method in class aima.core.learning.neural.BackPropLearning
-
- processError(Vector) - Method in class aima.core.learning.neural.FeedForwardNeuralNetwork
-
- processError(Vector) - Method in interface aima.core.learning.neural.FunctionApproximator
-
Accept an error and change the parameters to accommodate it
- processError(FeedForwardNeuralNetwork, Vector) - Method in interface aima.core.learning.neural.NNTrainingScheme
-
- processError(Vector) - Method in class aima.core.learning.neural.Perceptron
-
- processInput(FeedForwardNeuralNetwork, Vector) - Method in class aima.core.learning.neural.BackPropLearning
-
- processInput(Vector) - Method in class aima.core.learning.neural.FeedForwardNeuralNetwork
-
- processInput(Vector) - Method in interface aima.core.learning.neural.FunctionApproximator
-
Returns the output values for the specified input values
- processInput(FeedForwardNeuralNetwork, Vector) - Method in interface aima.core.learning.neural.NNTrainingScheme
-
- processInput(Vector) - Method in class aima.core.learning.neural.Perceptron
-
- program - Variable in class aima.core.agent.impl.AbstractAgent
-
- Proof - Interface in aima.core.logic.fol.inference.proof
-
- ProofFinal - Class in aima.core.logic.fol.inference.proof
-
- ProofFinal(ProofStep, Map<Variable, Term>) - Constructor for class aima.core.logic.fol.inference.proof.ProofFinal
-
- ProofPrinter - Class in aima.core.logic.fol.inference.proof
-
- ProofPrinter() - Constructor for class aima.core.logic.fol.inference.proof.ProofPrinter
-
- ProofStep - Interface in aima.core.logic.fol.inference.proof
-
- ProofStepBwChGoal - Class in aima.core.logic.fol.inference.proof
-
- ProofStepBwChGoal(Clause, Literal, Map<Variable, Term>) - Constructor for class aima.core.logic.fol.inference.proof.ProofStepBwChGoal
-
- ProofStepChainCancellation - Class in aima.core.logic.fol.inference.proof
-
- ProofStepChainCancellation(Chain, Chain, Map<Variable, Term>) - Constructor for class aima.core.logic.fol.inference.proof.ProofStepChainCancellation
-
- ProofStepChainContrapositive - Class in aima.core.logic.fol.inference.proof
-
- ProofStepChainContrapositive(Chain, Chain) - Constructor for class aima.core.logic.fol.inference.proof.ProofStepChainContrapositive
-
- ProofStepChainDropped - Class in aima.core.logic.fol.inference.proof
-
- ProofStepChainDropped(Chain, Chain) - Constructor for class aima.core.logic.fol.inference.proof.ProofStepChainDropped
-
- ProofStepChainFromClause - Class in aima.core.logic.fol.inference.proof
-
- ProofStepChainFromClause(Chain, Clause) - Constructor for class aima.core.logic.fol.inference.proof.ProofStepChainFromClause
-
- ProofStepChainReduction - Class in aima.core.logic.fol.inference.proof
-
- ProofStepChainReduction(Chain, Chain, Chain, Map<Variable, Term>) - Constructor for class aima.core.logic.fol.inference.proof.ProofStepChainReduction
-
- ProofStepClauseBinaryResolvent - Class in aima.core.logic.fol.inference.proof
-
- ProofStepClauseBinaryResolvent(Clause, Literal, Literal, Clause, Clause, Map<Variable, Term>, Map<Variable, Term>) - Constructor for class aima.core.logic.fol.inference.proof.ProofStepClauseBinaryResolvent
-
- ProofStepClauseClausifySentence - Class in aima.core.logic.fol.inference.proof
-
- ProofStepClauseClausifySentence(Clause, Sentence) - Constructor for class aima.core.logic.fol.inference.proof.ProofStepClauseClausifySentence
-
- ProofStepClauseDemodulation - Class in aima.core.logic.fol.inference.proof
-
- ProofStepClauseDemodulation(Clause, Clause, TermEquality) - Constructor for class aima.core.logic.fol.inference.proof.ProofStepClauseDemodulation
-
- ProofStepClauseFactor - Class in aima.core.logic.fol.inference.proof
-
- ProofStepClauseFactor(Clause, Clause, Literal, Literal, Map<Variable, Term>, Map<Variable, Term>) - Constructor for class aima.core.logic.fol.inference.proof.ProofStepClauseFactor
-
- ProofStepClauseParamodulation - Class in aima.core.logic.fol.inference.proof
-
- ProofStepClauseParamodulation(Clause, Clause, Clause, TermEquality) - Constructor for class aima.core.logic.fol.inference.proof.ProofStepClauseParamodulation
-
- ProofStepFoChAlreadyAFact - Class in aima.core.logic.fol.inference.proof
-
- ProofStepFoChAlreadyAFact(Literal) - Constructor for class aima.core.logic.fol.inference.proof.ProofStepFoChAlreadyAFact
-
- ProofStepFoChAssertFact - Class in aima.core.logic.fol.inference.proof
-
- ProofStepFoChAssertFact(Clause, Literal, Map<Variable, Term>, ProofStep) - Constructor for class aima.core.logic.fol.inference.proof.ProofStepFoChAssertFact
-
- ProofStepGoal - Class in aima.core.logic.fol.inference.proof
-
- ProofStepGoal(Object) - Constructor for class aima.core.logic.fol.inference.proof.ProofStepGoal
-
- ProofStepPremise - Class in aima.core.logic.fol.inference.proof
-
- ProofStepPremise(Object) - Constructor for class aima.core.logic.fol.inference.proof.ProofStepPremise
-
- ProofStepRenaming - Class in aima.core.logic.fol.inference.proof
-
- ProofStepRenaming(Object, ProofStep) - Constructor for class aima.core.logic.fol.inference.proof.ProofStepRenaming
-
- Proposition - Interface in aima.core.probability.proposition
-
Artificial Intelligence A Modern Approach (3rd Edition): page 486.
Propositions describing sets of possible worlds are written in a notation
that combines elements of propositional logic and constraint satisfaction
notation.
- PropositionSymbol - Class in aima.core.logic.propositional.parsing.ast
-
Artificial Intelligence A Modern Approach (3rd Edition): page 244.
Proposition Symbol: Each such symbol stands for a proposition that can
be true or false.
- PropositionSymbol(String) - Constructor for class aima.core.logic.propositional.parsing.ast.PropositionSymbol
-
Constructor.
- PureLinearActivationFunction - Class in aima.core.learning.neural
-
- PureLinearActivationFunction() - Constructor for class aima.core.learning.neural.PureLinearActivationFunction
-
- put(K1, K2, V) - Method in class aima.core.util.datastructure.TwoKeyHashMap
-
Associates the specified value with the specified key pair in this map.
- RabbitEyeDataSet - Class in aima.core.learning.neural
-
- RabbitEyeDataSet() - Constructor for class aima.core.learning.neural.RabbitEyeDataSet
-
- RAIN_RV - Static variable in class aima.core.probability.example.ExampleRV
-
- RAIN_t_RV - Static variable in class aima.core.probability.example.ExampleRV
-
- RAIN_tm1_RV - Static variable in class aima.core.probability.example.ExampleRV
-
- random - Variable in class aima.core.search.local.GeneticAlgorithm
-
- random(int, int) - Static method in class aima.core.util.math.Matrix
-
Generate matrix with random elements
- randomAssignmentToSymbolsInClauses(Set<Clause>) - Method in class aima.core.logic.propositional.inference.WalkSAT
-
- randomBoolean() - Static method in class aima.core.util.Util
-
- Randomizer - Interface in aima.core.util
-
- randomlyGenerateDestination() - Method in class aima.core.environment.map.ExtendableMap
-
Returns a location which is selected by random.
- randomlyGenerateDestination() - Method in interface aima.core.environment.map.Map
-
Returns a location which is selected by random.
- randomlySelectFalseClause(Set<Clause>, Model) - Method in class aima.core.logic.propositional.inference.WalkSAT
-
- randomlySelectSymbolFromClause(Clause) - Method in class aima.core.logic.propositional.inference.WalkSAT
-
- randomNumberBetween(int, int) - Static method in class aima.core.util.Util
-
- randomOffset(int) - Method in class aima.core.search.local.GeneticAlgorithm
-
- randomPoint() - Method in class aima.core.util.math.geom.CartesianPlot2D
-
Calculates a random point that is somewhere inside one of the shapes of the plot or on a border of a shape.
- randomPoint() - Method in class aima.core.util.math.geom.shapes.Circle2D
-
- randomPoint() - Method in class aima.core.util.math.geom.shapes.Ellipse2D
-
- randomPoint() - Method in interface aima.core.util.math.geom.shapes.IGeometric2D
-
Generates a random point that is on this geometric shape.
- randomPoint() - Method in class aima.core.util.math.geom.shapes.Line2D
-
- randomPoint() - Method in class aima.core.util.math.geom.shapes.Polyline2D
-
- randomPoint() - Method in class aima.core.util.math.geom.shapes.Rect2D
-
- randomPose() - Method in interface aima.core.robotics.IMclMap
-
Generates a random valid pose on the map.
- randomPose() - Method in class aima.core.robotics.impl.map.MclCartesianPlot2D
-
- randomSample(Node, Map<RandomVariable, Object>, Randomizer) - Static method in class aima.core.probability.util.ProbUtil
-
Get a random sample from P(Xi | parents(Xi))
- randomSelection(List<Individual<A>>, FitnessFunction<A>) - Method in class aima.core.search.local.GeneticAlgorithm
-
- RandomVariable - Interface in aima.core.probability
-
Artificial Intelligence A Modern Approach (3rd Edition): page 486.
Variables in probability theory are called random variables and their names
begin with an uppercase letter.
- RandVar - Class in aima.core.probability.util
-
Default implementation of the RandomVariable interface.
- RandVar(String, Domain) - Constructor for class aima.core.probability.util.RandVar
-
- Ray2D - Class in aima.core.util.math.geom.shapes
-
This class implements a ray in a two-dimensional Cartesian plot.
A ray is represented by a
Point2D and a directional
Vector2D.
- Ray2D(Point2D, Vector2D) - Constructor for class aima.core.util.math.geom.shapes.Ray2D
-
- Ray2D(double, double, double, double) - Constructor for class aima.core.util.math.geom.shapes.Ray2D
-
- rayCast(P) - Method in interface aima.core.robotics.IMclMap
-
Calculates the length of a ray in a direction defined by a pose.
- rayCast(P) - Method in class aima.core.robotics.impl.map.MclCartesianPlot2D
-
- rayCast(Ray2D) - Method in class aima.core.util.math.geom.CartesianPlot2D
-
Calculates the length of a ray until it intersects with a shape.
As this class uses the set maximum ray range to speed up this ray casting,
this function may return Double.POSITIVE_INFINITY for a ray that intersects with an obstacle that is further away than the rayRange from the given starting point.
- rayCast(Ray2D) - Method in class aima.core.util.math.geom.shapes.Circle2D
-
- rayCast(Ray2D) - Method in class aima.core.util.math.geom.shapes.Ellipse2D
-
- rayCast(Ray2D) - Method in interface aima.core.util.math.geom.shapes.IGeometric2D
-
Intersects this geometric shape with a ray.
- rayCast(Ray2D) - Method in class aima.core.util.math.geom.shapes.Line2D
-
- rayCast(Ray2D) - Method in class aima.core.util.math.geom.shapes.Polyline2D
-
- rayCast(Ray2D) - Method in class aima.core.util.math.geom.shapes.Rect2D
-
- read(BufferedReader) - Static method in class aima.core.util.math.Matrix
-
Read a matrix from a stream.
- recreate(Object) - Method in class aima.core.logic.fol.parsing.AbstractFOLVisitor
-
- Rect2D - Class in aima.core.util.math.geom.shapes
-
This class implements a rectangle in a two-dimensional Cartesian plot that has its edges parallel to the axis of the plot.
With this condition fast operations are possible for ray-casting and point-inside-testing.
- Rect2D(Point2D, Point2D) - Constructor for class aima.core.util.math.geom.shapes.Rect2D
-
- Rect2D(double, double, double, double) - Constructor for class aima.core.util.math.geom.shapes.Rect2D
-
- RecursiveBestFirstSearch - Class in aima.core.search.informed
-
Artificial Intelligence A Modern Approach (3rd Edition): Figure 3.26, page
99.
- RecursiveBestFirstSearch(EvaluationFunction) - Constructor for class aima.core.search.informed.RecursiveBestFirstSearch
-
- RecursiveBestFirstSearch(EvaluationFunction, boolean) - Constructor for class aima.core.search.informed.RecursiveBestFirstSearch
-
Constructor which allows to enable the loop avoidance strategy.
- RecursiveBestFirstSearch(EvaluationFunction, boolean, NodeExpander) - Constructor for class aima.core.search.informed.RecursiveBestFirstSearch
-
- RED - Static variable in class aima.core.search.csp.examples.MapCSP
-
- ReducedLiteral - Class in aima.core.logic.fol.kb.data
-
- ReducedLiteral(AtomicSentence) - Constructor for class aima.core.logic.fol.kb.data.ReducedLiteral
-
- ReducedLiteral(AtomicSentence, boolean) - Constructor for class aima.core.logic.fol.kb.data.ReducedLiteral
-
- reduceDomains(CSP) - Method in class aima.core.search.csp.AC3Strategy
-
Makes a CSP consisting of binary constraints arc-consistent.
- reduceDomains(Variable, Object, CSP) - Method in class aima.core.search.csp.AC3Strategy
-
Reduces the domain of the specified variable to the specified value and
reestablishes arc-consistency.
- ReflexVacuumAgent - Class in aima.core.environment.vacuum
-
Artificial Intelligence A Modern Approach (3rd Edition): Figure 2.8, page 48.
- ReflexVacuumAgent() - Constructor for class aima.core.environment.vacuum.ReflexVacuumAgent
-
- refreshDataset() - Method in class aima.core.learning.neural.NNDataSet
-
- REGULAR - Static variable in class aima.core.nlp.parsing.grammars.ProbUnrestrictedGrammar
-
- ReinforcementAgent<S,A extends Action> - Class in aima.core.learning.reinforcement.agent
-
An abstract base class for creating reinforcement based agents.
- ReinforcementAgent() - Constructor for class aima.core.learning.reinforcement.agent.ReinforcementAgent
-
Default Constructor.
- RejectionSampling - Class in aima.core.probability.bayes.approx
-
Artificial Intelligence A Modern Approach (3rd Edition): page 533.
- RejectionSampling() - Constructor for class aima.core.probability.bayes.approx.RejectionSampling
-
- RejectionSampling(PriorSample) - Constructor for class aima.core.probability.bayes.approx.RejectionSampling
-
- rejectionSampling(RandomVariable[], AssignmentProposition[], BayesianNetwork, int) - Method in class aima.core.probability.bayes.approx.RejectionSampling
-
The REJECTION-SAMPLING algorithm in Figure 14.14.
- relevantPages(String) - Method in class aima.core.nlp.ranking.HITS
-
Fetches and returns all pages that match the query
- remove(PropositionSymbol) - Method in class aima.core.logic.propositional.kb.data.Model
-
- remove() - Method in class aima.core.util.ArrayIterator
-
- remove(VertexLabelType, VertexLabelType) - Method in class aima.core.util.datastructure.LabeledGraph
-
Removes an edge from the graph.
- REMOVE_QUEEN - Static variable in class aima.core.environment.nqueens.QueenAction
-
- removeAgent(Agent) - Method in interface aima.core.agent.Environment
-
Remove an agent from the environment.
- removeAgent(Agent) - Method in class aima.core.agent.impl.AbstractEnvironment
-
- removeAssignment(Variable) - Method in class aima.core.search.csp.Assignment
-
- removeAttribute(Object) - Method in class aima.core.agent.impl.ObjectWithDynamicAttributes
-
Removes the attribute with the specified key from this
ObjectWithDynamicAttributes.
- removeBidirectionalLink(String, String) - Method in class aima.core.environment.map.ExtendableMap
-
Removes the two corresponding one-way connections.
- removeCell(int, int) - Method in class aima.core.environment.cellworld.CellWorld
-
Remove the cell at the specified location from this Cell World.
- removeCSPStateListener(CSPStateListener) - Method in class aima.core.search.csp.SolutionStrategy
-
Removes a CSP listener from the solution strategy.
- removedClauseFromSOS(Clause) - Method in class aima.core.logic.fol.inference.otter.defaultimpl.DefaultLightestClauseHeuristic
-
- removedClauseFromSOS(Clause) - Method in interface aima.core.logic.fol.inference.otter.LightestClauseHeuristic
-
- removeEnvironmentObject(EnvironmentObject) - Method in interface aima.core.agent.Environment
-
Remove an EnvironmentObject from the Environment.
- removeEnvironmentObject(EnvironmentObject) - Method in class aima.core.agent.impl.AbstractEnvironment
-
- removeEnvironmentView(EnvironmentView) - Method in interface aima.core.agent.Environment
-
Remove a view on the Environment.
- removeEnvironmentView(EnvironmentView) - Method in class aima.core.agent.impl.AbstractEnvironment
-
- removeExample(Example) - Method in class aima.core.learning.framework.DataSet
-
- removeFOLDomainListener(FOLDomainListener) - Method in class aima.core.logic.fol.domain.FOLDomain
-
- removeFrom(List<T>, T) - Static method in class aima.core.util.Util
-
- removeFromFrontier() - Method in class aima.core.search.framework.qsearch.BidirectionalSearch
-
Cleans up the head of the frontier, removes the first node of a
non-explored state from the head of the frontier, adds it to the
corresponding explored map, and returns the node.
- removeFromFrontier() - Method in class aima.core.search.framework.qsearch.GraphSearch
-
Removes the node at the head of the frontier, adds the corresponding
state to the explored set, and returns the node.
- removeFromFrontier() - Method in class aima.core.search.framework.qsearch.GraphSearchBFS
-
Removes the node at the head of the frontier, adds the corresponding
state to the explored set, and returns the node.
- removeFromFrontier() - Method in class aima.core.search.framework.qsearch.GraphSearchReducedFrontier
-
Removes the node at the head of the frontier, adds the corresponding
state to the explored set, and returns the node.
- removeFromFrontier() - Method in class aima.core.search.framework.qsearch.QueueSearch
-
Primitive operation which removes and returns the node at the head of the
frontier.
- removeFromFrontier() - Method in class aima.core.search.framework.qsearch.TreeSearch
-
Removes and returns the node at the head of the frontier.
- removeKey(K1, K2) - Method in class aima.core.util.datastructure.TwoKeyHashMap
-
Removes the mapping for this key pair from this map if present.
- removeQueenFrom(XYLocation) - Method in class aima.core.environment.nqueens.NQueensBoard
-
- removeUnidirectionalLink(String, String) - Method in class aima.core.environment.map.ExtendableMap
-
Removes a one-way connection.
- removeValueFromDomain(Variable, Object) - Method in class aima.core.search.csp.CSP
-
Replaces the domain of the specified variable by new domain, which
contains all values of the old domain except the specified value.
- replace(AtomicSentence, Term, Term) - Method in class aima.core.logic.fol.inference.AbstractModulation.ReplaceMatchingTerm
-
- replaceAnswerBindings(Map<Variable, Term>) - Method in interface aima.core.logic.fol.inference.proof.Proof
-
- replaceAnswerBindings(Map<Variable, Term>) - Method in class aima.core.logic.fol.inference.proof.ProofFinal
-
- ReplaceMatchingTerm() - Constructor for class aima.core.logic.fol.inference.AbstractModulation.ReplaceMatchingTerm
-
- report(List<Page>) - Method in class aima.core.nlp.ranking.HITS
-
Simple console display of HITS Algorithm results.
- reproduce(Individual<A>, Individual<A>) - Method in class aima.core.search.local.GeneticAlgorithm
-
- reproduce(Individual<Double>, Individual<Double>) - Method in class aima.core.search.local.GeneticAlgorithmForNumbers
-
Produces for each number in the descendant's representation a random
value between the corresponding values of its parents.
- reset() - Method in class aima.core.learning.reinforcement.agent.PassiveADPAgent
-
- reset() - Method in class aima.core.learning.reinforcement.agent.PassiveTDAgent
-
- reset() - Method in class aima.core.learning.reinforcement.agent.QLearningAgent
-
- reset() - Method in class aima.core.learning.reinforcement.agent.ReinforcementAgent
-
Reset the agent back to its initial state before it has learned anything
about its environment.
- reset() - Method in class aima.core.learning.reinforcement.example.CellWorldEnvironmentState
-
Reset the environment state to its default state.
- reset() - Method in interface aima.core.logic.fol.inference.trace.FOLModelEliminationTracer
-
- resetCounter() - Method in class aima.core.search.framework.NodeExpander
-
- resolvePositiveWithNegative(Clause, Clause, Set<Clause>) - Method in class aima.core.logic.propositional.inference.PLResolution
-
- rest(List<T>) - Static method in class aima.core.util.Util
-
Get a sublist of all of the elements in the list except for first.
- restoreDomains(CSP) - Method in class aima.core.search.csp.DomainRestoreInfo
-
- result(Cell<C>, CellWorldAction) - Method in class aima.core.environment.cellworld.CellWorld
-
Determine what cell would be moved into if the specified action is
performed in the specified cell.
- result(Object, Action) - Method in interface aima.core.search.framework.problem.ResultFunction
-
Returns the state that results from doing action a in state s
- resultFunction - Variable in class aima.core.search.framework.problem.Problem
-
- ResultFunction - Interface in aima.core.search.framework.problem
-
Artificial Intelligence A Modern Approach (3rd Edition): page 67.
A description of what each action does; the formal name for this is the
transition model, specified by a function RESULT(s, a) that returns the state
that results from doing action a in state s.
- resultFunction - Variable in class aima.core.search.nondeterministic.NondeterministicProblem
-
- results(Object, Action) - Method in class aima.core.environment.vacuum.VacuumWorldResults
-
Returns a list of possible results for a given state and action
- results(Object, Action) - Method in interface aima.core.search.nondeterministic.ResultsFunction
-
Returns the states that result from doing action a in state s
- resultsFunction - Variable in class aima.core.search.nondeterministic.NondeterministicProblem
-
- ResultsFunction - Interface in aima.core.search.nondeterministic
-
Artificial Intelligence A Modern Approach (3rd Edition): page 136.
Closely related to ResultFunction, but for non-deterministic problems; in
these problems, the outcome of an action will be a set of results, not a
single result.
- retrieveBestIndividual(Collection<Individual<A>>, FitnessFunction<A>) - Method in class aima.core.search.local.GeneticAlgorithm
-
- reward() - Method in class aima.core.learning.reinforcement.example.CellWorldPercept
-
- reward() - Method in interface aima.core.learning.reinforcement.RewardPercept
-
- reward(S) - Method in class aima.core.probability.mdp.impl.MDP
-
- reward(S) - Method in interface aima.core.probability.mdp.MarkovDecisionProcess
-
Get the reward associated with being in state s.
- reward(S) - Method in interface aima.core.probability.mdp.RewardFunction
-
Get the reward associated with being in state s.
- RewardFunction<S> - Interface in aima.core.probability.mdp
-
An interface for MDP reward functions.
- RewardPercept - Interface in aima.core.learning.reinforcement
-
Artificial Intelligence A Modern Approach (3rd Edition): page 830.
Our framework for agents regards the reward as part of the input percept, but
the agent must be "hardwired" to recognize that part as a reward rather than
as just another sensory input.
- rhs - Variable in class aima.core.nlp.parsing.grammars.Rule
-
- RIGHT - Static variable in class aima.core.environment.eightpuzzle.EightPuzzleBoard
-
- right() - Method in class aima.core.util.datastructure.XYLocation
-
Returns the location one unit right of this location.
- RIMNICU_VILCEA - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfPartOfRomania
-
- ringOfThievesDomain() - Static method in class aima.core.logic.fol.domain.DomainFactory
-
- RobotException - Exception in aima.core.robotics.datatypes
-
A
RobotException may be thrown by a class implementing
IMclRobot during any actions invoked on the robot in case something has gone wrong and the localization should be halted.
- RobotException() - Constructor for exception aima.core.robotics.datatypes.RobotException
-
- ROCKHAMPTON - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfAustralia
-
- Room - Class in aima.core.environment.wumpusworld
-
Artificial Intelligence A Modern Approach (3rd Edition): page 236.
The wumpus world is a cave consisting of rooms connected by
passageways.
- Room(int, int) - Constructor for class aima.core.environment.wumpusworld.Room
-
Constructor.
- rootNodes - Variable in class aima.core.probability.bayes.impl.BayesNet
-
- rotate(double) - Static method in class aima.core.util.math.geom.shapes.TransformMatrix2D
-
Produces a transformation matrix representing a rotation operation around the origin of the coordinate system.
- RPAREN - Static variable in interface aima.core.logic.common.LogicTokenTypes
-
- RSQRBRACKET - Static variable in interface aima.core.logic.common.LogicTokenTypes
-
- Rule - Class in aima.core.agent.impl.aprog.simplerule
-
A simple implementation of a "condition-action rule".
- Rule(Condition, Action) - Constructor for class aima.core.agent.impl.aprog.simplerule.Rule
-
Constructs a condition-action rule.
- Rule - Class in aima.core.nlp.parsing.grammars
-
A derivation rule that is contained within a grammar.
- Rule(List<String>, List<String>, float) - Constructor for class aima.core.nlp.parsing.grammars.Rule
-
- Rule(List<String>, float) - Constructor for class aima.core.nlp.parsing.grammars.Rule
-
- Rule(String, String, float) - Constructor for class aima.core.nlp.parsing.grammars.Rule
-
- ruleAction(Rule) - Method in class aima.core.agent.impl.aprog.ModelBasedReflexAgentProgram
-
- ruleAction(Rule) - Method in class aima.core.agent.impl.aprog.SimpleReflexAgentProgram
-
- ruleMatch(DynamicState, Set<Rule>) - Method in class aima.core.agent.impl.aprog.ModelBasedReflexAgentProgram
-
- ruleMatch(ObjectWithDynamicAttributes, Set<Rule>) - Method in class aima.core.agent.impl.aprog.SimpleReflexAgentProgram
-
- rules - Variable in class aima.core.nlp.parsing.grammars.ProbUnrestrictedGrammar
-
- RunCYK - Class in aima.core.nlp.parsing
-
A simple runner class to test out one parsing scenario on CYK.
- RunCYK() - Constructor for class aima.core.nlp.parsing.RunCYK
-
- RunHITS - Class in aima.core.nlp.ranking
-
- RunHITS() - Constructor for class aima.core.nlp.ranking.RunHITS
-
- SA - Static variable in class aima.core.search.csp.examples.MapCSP
-
- sample(double, RandomVariable, double[]) - Static method in class aima.core.probability.util.ProbUtil
-
- satisfies(Set<Clause>) - Method in class aima.core.logic.propositional.kb.data.Model
-
Determine if the model satisfies a set of clauses.
- SATPlan - Class in aima.core.logic.propositional.inference
-
Artificial Intelligence A Modern Approach (3rd Edition): page 261.
- SATPlan(SATSolver, SATPlan.SolutionExtractor) - Constructor for class aima.core.logic.propositional.inference.SATPlan
-
- satPlan(SATPlan.Describe, SATPlan.Describe, SATPlan.Describe, int) - Method in class aima.core.logic.propositional.inference.SATPlan
-
function SATPlan(init, transition, goal, Tmax) returns
solution or failure
- SATSolver - Interface in aima.core.logic.propositional.inference
-
Basic interface to a SAT Solver.
- scale(double, double) - Static method in class aima.core.util.math.geom.shapes.TransformMatrix2D
-
Produces a transformation matrix representing a scaling operation.
- Scenario - Class in aima.core.environment.map
-
A scenario specifies an environment, the agent's knowledge about the
environment, and the agents initial location.
- Scenario(MapEnvironment, Map, String) - Constructor for class aima.core.environment.map.Scenario
-
Creates a scenario.
- Scheduler - Class in aima.core.search.local
-
- Scheduler(int, double, int) - Constructor for class aima.core.search.local.Scheduler
-
- Scheduler() - Constructor for class aima.core.search.local.Scheduler
-
- search(Problem) - Method in class aima.core.environment.map.MapAgent
-
- search(Problem) - Method in class aima.core.environment.map.SimpleMapAgent
-
- search(Problem) - Method in class aima.core.search.framework.ProblemSolvingAgent
-
Primitive operation, responsible for the generation of an action list
(plan) for the given search problem.
- search(Problem) - Method in class aima.core.search.framework.SimpleProblemSolvingAgent
-
- search(NondeterministicProblem) - Method in class aima.core.search.nondeterministic.AndOrSearch
-
Searches through state space and returns a conditional plan for the given
problem.
- SearchAgent - Class in aima.core.search.framework
-
- SearchAgent(Problem, SearchForActions) - Constructor for class aima.core.search.framework.SearchAgent
-
- SearchForActions - Interface in aima.core.search.framework
-
Interface for all AIMA3e search algorithms which store at least a part of the
exploration history as search tree and return a list of actions leading from
the initial state to a goal state.
- SearchForStates - Interface in aima.core.search.framework
-
Interface for all AIMA3e search algorithms which forget the exploration history and
return just a single state which is hopefully a goal state.
- searchNode(Problem) - Method in class aima.core.search.local.HillClimbingSearch
-
Returns a list of actions to the local maximum if the local maximum was
found, a list containing a single NoOp Action if already at the local
maximum, or an empty list if the search was canceled by the user.
- SearchUtils - Class in aima.core.search.framework
-
Provides several useful static methods for implementing search.
- SearchUtils() - Constructor for class aima.core.search.framework.SearchUtils
-
- selectionStrategy - Variable in class aima.core.search.csp.ImprovedBacktrackingStrategy
-
- selectRandomlyFromList(List<T>) - Static method in class aima.core.util.Util
-
Randomly select an element from a list.
- selectUnassignedVariable(Assignment, CSP) - Method in class aima.core.search.csp.BacktrackingStrategy
-
Primitive operation, selecting a not yet assigned variable.
- selectUnassignedVariable(Assignment, CSP) - Method in class aima.core.search.csp.ImprovedBacktrackingStrategy
-
Primitive operation, selecting a not yet assigned variable.
- sensitivityMatrixFromErrorMatrix(Vector) - Method in class aima.core.learning.neural.LayerSensitivity
-
- sensitivityMatrixFromSucceedingLayer(LayerSensitivity) - Method in class aima.core.learning.neural.LayerSensitivity
-
- Sentence - Interface in aima.core.logic.fol.parsing.ast
-
- Sentence - Class in aima.core.logic.propositional.parsing.ast
-
Artificial Intelligence A Modern Approach (3rd Edition): page 244.
The base of the knowledge representation language for propositional logic.
- Sentence() - Constructor for class aima.core.logic.propositional.parsing.ast.Sentence
-
- SentenceProposition - Interface in aima.core.probability.proposition
-
Indicator interface used to identify Sentence Propositions.
- set(String, int) - Method in class aima.core.search.framework.Metrics
-
- set(String, double) - Method in class aima.core.search.framework.Metrics
-
- set(String, long) - Method in class aima.core.search.framework.Metrics
-
- set(VertexLabelType, VertexLabelType, EdgeLabelType) - Method in class aima.core.util.datastructure.LabeledGraph
-
Adds a directed labeled edge to the graph.
- set(RowHeaderType, ColumnHeaderType, ValueType) - Method in class aima.core.util.datastructure.Table
-
Maps the specified row and column to the specified value in the table.
- set(int, int, double) - Method in class aima.core.util.math.Matrix
-
Set a single element.
- setAdaptee(BayesSampleInference) - Method in class aima.core.probability.bayes.approx.BayesInferenceApproxAdapter
-
- setAgentLocation(Agent, String) - Method in class aima.core.environment.vacuum.VacuumEnvironmentState
-
Sets the agent location
- setAgentLocation(Agent, Cell<Double>) - Method in class aima.core.learning.reinforcement.example.CellWorldEnvironmentState
-
Set an agent's location within the cell world environment.
- setAgentLocationAndTravelDistance(Agent, String, Double) - Method in class aima.core.environment.map.MapEnvironmentState
-
- setAlive(boolean) - Method in interface aima.core.agent.Agent
-
Set the current liveness of the Agent.
- setAlive(boolean) - Method in class aima.core.agent.impl.AbstractAgent
-
- setAssignment(Variable, Object) - Method in class aima.core.search.csp.Assignment
-
- setAttribute(Object, Object) - Method in class aima.core.agent.impl.ObjectWithDynamicAttributes
-
Associates the specified value with the specified attribute key.
- setBayesInference(BayesInference) - Method in class aima.core.probability.bayes.model.FiniteBayesModel
-
- setBoard(List<XYLocation>) - Method in class aima.core.environment.eightpuzzle.EightPuzzleBoard
-
- setBoard(List<XYLocation>) - Method in class aima.core.environment.nqueens.NQueensBoard
-
- setBreeze(boolean) - Method in class aima.core.environment.wumpusworld.AgentPercept
-
- setBump(boolean) - Method in class aima.core.environment.wumpusworld.AgentPercept
-
- setCaveXDimension(int) - Method in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- setCaveYDimension(int) - Method in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- setCell(Cell<Double>) - Method in class aima.core.learning.reinforcement.example.CellWorldPercept
-
Set the cell within the environment that the percept refers to.
- setClauseFilter(ClauseFilter) - Method in class aima.core.logic.fol.inference.FOLOTTERLikeTheoremProver
-
- setClauseSimplifier(ClauseSimplifier) - Method in class aima.core.logic.fol.inference.FOLOTTERLikeTheoremProver
-
- setConfig(String, Double) - Method in class aima.core.learning.neural.NNConfig
-
- setConfig(String, int) - Method in class aima.core.learning.neural.NNConfig
-
- setContent(C) - Method in class aima.core.environment.cellworld.Cell
-
Set the cell's content.
- setContent(String) - Method in class aima.core.nlp.ranking.Page
-
- setCurrentValueFor(int[]) - Method in class aima.core.util.math.MixedRadixNumber
-
Sets the value of the mixed radix number with the specified array of
numerals and the current array of radices.
- setDiscardTautologies(boolean) - Method in class aima.core.logic.propositional.inference.PLResolution
-
Determine whether or not the algorithm should discard tautological
clauses during processing.
- setDistAndDirToRefLocation(String, double, int) - Method in class aima.core.environment.map.ExtendableMap
-
Defines the position of a location within the map.
- setDomain(Variable, Domain) - Method in class aima.core.search.csp.CSP
-
- setEarlyGoalTest(boolean) - Method in class aima.core.search.framework.qsearch.QueueSearch
-
Enables optimization for FIFO queue based search, especially breadth
first search.
- setEmptyDomainFound(boolean) - Method in class aima.core.search.csp.DomainRestoreInfo
-
- setExtendedValue(RandomVariable, Object) - Method in class aima.core.probability.bayes.exact.EnumerationAsk.ObservedEvidence
-
- setGlitter(boolean) - Method in class aima.core.environment.wumpusworld.AgentPercept
-
- setHeuristicFunction(HeuristicFunction) - Method in class aima.core.search.informed.HeuristicEvaluationFunction
-
- setHeuristicFunction(HeuristicFunction) - Method in class aima.core.search.online.LRTAStarAgent
-
Sets the heuristic function of this agent.
- setImmutable() - Method in class aima.core.logic.fol.kb.data.Clause
-
- setIndexical(int) - Method in class aima.core.logic.fol.parsing.ast.Variable
-
- setInference(ImprovedBacktrackingStrategy.Inference) - Method in class aima.core.search.csp.ImprovedBacktrackingStrategy
-
Selects the algorithm for INFERENCE.
- setInferenceProcedure(InferenceProcedure) - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- setInput(String) - Method in class aima.core.logic.common.Lexer
-
Sets the character stream of the lexical analyzer.
- setInput(Reader) - Method in class aima.core.logic.common.Lexer
-
Set the character stream reader of the lexical analyzer.
- setLastBiasUpdateVector(Vector) - Method in class aima.core.learning.neural.Layer
-
- setLastWeightUpdateMatrix(Matrix) - Method in class aima.core.learning.neural.Layer
-
- setLightestClauseHeuristic(LightestClauseHeuristic) - Method in class aima.core.logic.fol.inference.FOLOTTERLikeTheoremProver
-
- setLocationState(String, VacuumEnvironment.LocationState) - Method in class aima.core.environment.vacuum.VacuumEnvironmentState
-
Sets the location state
- setLogEnabled(boolean) - Method in class aima.core.search.adversarial.IterativeDeepeningAlphaBetaSearch
-
- setLower(Comparable<C>) - Method in class aima.core.util.math.Interval
-
Sets the lower end point of the interval.
- setLowerExclusive(boolean) - Method in class aima.core.util.math.Interval
-
Sets the interval to lower exclusive or lower inclusive.
- setLowerInclusive(boolean) - Method in class aima.core.util.math.Interval
-
Sets the interval to lower inclusive or lower exclusive.
- setMatrix(int, int, int, int, Matrix) - Method in class aima.core.util.math.Matrix
-
Set a submatrix.
- setMatrix(int[], int[], Matrix) - Method in class aima.core.util.math.Matrix
-
Set a submatrix.
- setMatrix(int[], int, int, Matrix) - Method in class aima.core.util.math.Matrix
-
Set a submatrix.
- setMatrix(int, int, int[], Matrix) - Method in class aima.core.util.math.Matrix
-
Set a submatrix.
- setMaxQueryTime(long) - Method in class aima.core.logic.fol.inference.FOLModelElimination
-
- setMaxQueryTime(long) - Method in class aima.core.logic.fol.inference.FOLOTTERLikeTheoremProver
-
- setMaxQueryTime(long) - Method in class aima.core.logic.fol.inference.FOLTFMResolution
-
- setModel(Model) - Method in class aima.core.agent.impl.aprog.ModelBasedReflexAgentProgram
-
Set the program's description of how the next state depends on the state
and action.
- setN(int) - Method in class aima.core.probability.bayes.approx.BayesInferenceApproxAdapter
-
- setNeuralNetwork(FunctionApproximator) - Method in class aima.core.learning.neural.BackPropLearning
-
- setNeuralNetwork(FunctionApproximator) - Method in interface aima.core.learning.neural.NNTrainingScheme
-
- setOfClausesInTheCNFRepresentationOfKBAndNotAlpha(KnowledgeBase, Sentence) - Method in class aima.core.logic.propositional.inference.PLResolution
-
- SetOps - Class in aima.core.util
-
Note: This code is based on -
Java Tutorial: The Set Interface
Using LinkedHashSet, even though slightly slower than HashSet, in order to
ensure order is always respected (i.e.
- SetOps() - Constructor for class aima.core.util.SetOps
-
- setPenultimateBiasUpdateVector(Vector) - Method in class aima.core.learning.neural.Layer
-
- setPenultimateWeightUpdateMatrix(Matrix) - Method in class aima.core.learning.neural.Layer
-
- setPerceptToStateFunction(PerceptToStateFunction) - Method in class aima.core.environment.vacuum.NondeterministicVacuumAgent
-
Sets the percept to state functino of this agent.
- setPerceptToStateFunction(PerceptToStateFunction) - Method in class aima.core.search.online.LRTAStarAgent
-
Sets the percept to state function of this agent.
- setPerceptToStateFunction(PerceptToStateFunction) - Method in class aima.core.search.online.OnlineDFSAgent
-
Sets the percept to state functino of this agent.
- setPosition(String, double, double) - Method in class aima.core.environment.map.ExtendableMap
-
Defines the position of a location as with respect to an orthogonal
coordinate system.
- setPredecessor(ProofStep) - Method in class aima.core.logic.fol.inference.proof.ProofStepBwChGoal
-
- setProblem(NondeterministicProblem) - Method in class aima.core.environment.vacuum.NondeterministicVacuumAgent
-
Sets the search problem for this agent to solve.
- setProblem(OnlineSearchProblem) - Method in class aima.core.search.online.LRTAStarAgent
-
Sets the search problem for this agent to solve.
- setProblem(OnlineSearchProblem) - Method in class aima.core.search.online.OnlineDFSAgent
-
Sets the search problem for this agent to solve.
- setProofStep(ProofStep) - Method in class aima.core.logic.fol.kb.data.Chain
-
- setProofStep(ProofStep) - Method in class aima.core.logic.fol.kb.data.Clause
-
- setRayRange(double) - Method in class aima.core.util.math.geom.CartesianPlot2D
-
Sets the maximum length of a rayCast after which Double.POSITIVE_INFINITY may be returned.
- setReverseActionTestEnabled(boolean) - Method in class aima.core.search.framework.qsearch.BidirectionalSearch
-
Enables a check for all actions offered by the reverse problem whether
there exists a corresponding action of the original problem.
- setRules(Set<Rule>) - Method in class aima.core.agent.impl.aprog.ModelBasedReflexAgentProgram
-
Set the program's condition-action rules
- setScream(boolean) - Method in class aima.core.environment.wumpusworld.AgentPercept
-
- setSensorRange(double) - Method in class aima.core.robotics.impl.map.MclCartesianPlot2D
-
Sets the sensor range.
- setShapes(ArrayList<IGeometric2D>) - Method in class aima.core.util.math.geom.CartesianPlot2D
-
Sets the set of shapes of the plot.
- setSpecification(DataSetSpecification) - Method in class aima.core.learning.framework.DataSet
-
- setStandardizedApartCheckNotRequired() - Method in class aima.core.logic.fol.kb.data.Clause
-
- setState(DynamicState) - Method in class aima.core.agent.impl.aprog.ModelBasedReflexAgentProgram
-
Set the agent's current conception of the world state.
- setStench(boolean) - Method in class aima.core.environment.wumpusworld.AgentPercept
-
- setStepNumber(int) - Method in class aima.core.logic.fol.inference.proof.AbstractProofStep
-
- setStepNumber(int) - Method in interface aima.core.logic.fol.inference.proof.ProofStep
-
- setTarget(String) - Method in class aima.core.learning.framework.DataSetSpecification
-
- setTargetColumns() - Method in class aima.core.learning.neural.IrisNNDataSet
-
- setTargetColumns() - Method in class aima.core.learning.neural.NNDataSet
-
- setTargetColumns() - Method in class aima.core.learning.neural.RabbitEyeDataSet
-
- setTracer(FOLTFMResolutionTracer) - Method in class aima.core.logic.fol.inference.FOLTFMResolution
-
- setTrainingScheme(NNTrainingScheme) - Method in class aima.core.learning.neural.FeedForwardNeuralNetwork
-
- setUpper(Comparable<C>) - Method in class aima.core.util.math.Interval
-
Sets the upper end point of the interval.
- setUpperExclusive(boolean) - Method in class aima.core.util.math.Interval
-
Sets the interval to upper exclusive or upper inclusive.
- setUpperInclusive(boolean) - Method in class aima.core.util.math.Interval
-
Sets the interval to upper inclusive or upper exclusive.
- setUpToParse(String) - Method in class aima.core.logic.fol.parsing.FOLParser
-
- setUseParamodulation(boolean) - Method in class aima.core.logic.fol.inference.FOLOTTERLikeTheoremProver
-
- setValue(int, double) - Method in interface aima.core.probability.CategoricalDistribution
-
Set the value at a specified index within the distribution.
- setValue(Object) - Method in class aima.core.probability.proposition.AssignmentProposition
-
- setValue(int, double) - Method in class aima.core.probability.util.ProbabilityTable
-
- setValue(int, double) - Method in class aima.core.util.math.Vector
-
Sets the value at the specified index.
- setVariableSelection(ImprovedBacktrackingStrategy.Selection) - Method in class aima.core.search.csp.ImprovedBacktrackingStrategy
-
Selects the algorithm for SELECT-UNASSIGNED-VARIABLE
- setWeightCutOff(double) - Method in class aima.core.robotics.MonteCarloLocalization
-
Sets the minimum weight of the particles.
- Shoot - Class in aima.core.environment.wumpusworld.action
-
Artificial Intelligence A Modern Approach (3rd Edition): page 237.
The action Shoot can be used to fire an arrow in a straight line in the
direction the agent is facing.
- Shoot() - Constructor for class aima.core.environment.wumpusworld.action.Shoot
-
- SHOOT_ACTION_NAME - Static variable in class aima.core.environment.wumpusworld.action.Shoot
-
- SIBIU - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfPartOfRomania
-
- SimpleEnvironmentView - Class in aima.core.agent.impl
-
Simple environment view which uses the standard output stream to inform about
relevant events.
- SimpleEnvironmentView() - Constructor for class aima.core.agent.impl.SimpleEnvironmentView
-
- SimpleMapAgent - Class in aima.core.environment.map
-
Note: This implementation should be used with one predefined goal only or
with uninformed search.
- SimpleMapAgent(Map, EnvironmentViewNotifier, SearchForActions) - Constructor for class aima.core.environment.map.SimpleMapAgent
-
- SimpleMapAgent(Map, EnvironmentViewNotifier, SearchForActions, int) - Constructor for class aima.core.environment.map.SimpleMapAgent
-
- SimpleMapAgent(Map, EnvironmentViewNotifier, SearchForActions, String[]) - Constructor for class aima.core.environment.map.SimpleMapAgent
-
- SimpleMapAgent(Map, SearchForActions, String[]) - Constructor for class aima.core.environment.map.SimpleMapAgent
-
- SimpleProblemSolvingAgent - Class in aima.core.search.framework
-
Artificial Intelligence A Modern Approach (3rd Edition): Figure 3.1, page 67.
- SimpleProblemSolvingAgent() - Constructor for class aima.core.search.framework.SimpleProblemSolvingAgent
-
Constructs a simple problem solving agent which will formulate goals
indefinitely.
- SimpleProblemSolvingAgent(int) - Constructor for class aima.core.search.framework.SimpleProblemSolvingAgent
-
Constructs a simple problem solving agent which will formulate, at
maximum, the specified number of goals.
- SimpleReflexAgentProgram - Class in aima.core.agent.impl.aprog
-
Artificial Intelligence A Modern Approach (3rd Edition): Figure 2.10, page
49.
- SimpleReflexAgentProgram(Set<Rule>) - Constructor for class aima.core.agent.impl.aprog.SimpleReflexAgentProgram
-
Constructs a SimpleReflexAgentProgram with a set of condition-action
rules.
- SimpleReflexVacuumAgent - Class in aima.core.environment.vacuum
-
- SimpleReflexVacuumAgent() - Constructor for class aima.core.environment.vacuum.SimpleReflexVacuumAgent
-
- SimplifiedRoadMapOfAustralia - Class in aima.core.environment.map
-
Represents a simplified road map of Australia.
- SimplifiedRoadMapOfAustralia() - Constructor for class aima.core.environment.map.SimplifiedRoadMapOfAustralia
-
- SimplifiedRoadMapOfPartOfRomania - Class in aima.core.environment.map
-
Represents a simplified road map of Romania.
- SimplifiedRoadMapOfPartOfRomania() - Constructor for class aima.core.environment.map.SimplifiedRoadMapOfPartOfRomania
-
- simplify(Clause) - Method in interface aima.core.logic.fol.inference.otter.ClauseSimplifier
-
- simplify(Clause) - Method in class aima.core.logic.fol.inference.otter.defaultimpl.DefaultClauseSimplifier
-
- SimulatedAnnealingSearch - Class in aima.core.search.local
-
Artificial Intelligence A Modern Approach (3rd Edition): Figure 4.5, page
126.
- SimulatedAnnealingSearch(HeuristicFunction) - Constructor for class aima.core.search.local.SimulatedAnnealingSearch
-
Constructs a simulated annealing search from the specified heuristic
function and a default scheduler.
- SimulatedAnnealingSearch(HeuristicFunction, Scheduler) - Constructor for class aima.core.search.local.SimulatedAnnealingSearch
-
Constructs a simulated annealing search from the specified heuristic
function and scheduler.
- SimulatedAnnealingSearch(HeuristicFunction, Scheduler, NodeExpander) - Constructor for class aima.core.search.local.SimulatedAnnealingSearch
-
- SimulatedAnnealingSearch.SearchOutcome - Enum in aima.core.search.local
-
- size() - Method in class aima.core.learning.framework.DataSet
-
- size() - Method in class aima.core.logic.propositional.kb.KnowledgeBase
-
Returns the number of sentences in the knowledge base.
- size() - Method in class aima.core.probability.domain.AbstractContinuousDomain
-
- size() - Method in class aima.core.probability.domain.AbstractDiscreteDomain
-
- size() - Method in class aima.core.probability.domain.AbstractFiniteDomain
-
- size() - Method in class aima.core.probability.domain.ArbitraryTokenDomain
-
- size() - Method in class aima.core.probability.domain.BooleanDomain
-
- size() - Method in interface aima.core.probability.domain.Domain
-
- size() - Method in class aima.core.probability.domain.FiniteIntegerDomain
-
- size() - Method in class aima.core.probability.util.ProbabilityTable
-
- size() - Method in class aima.core.search.csp.Domain
-
- size() - Method in class aima.core.util.math.Vector
-
Returns the number of values in this vector.
- skolemConstantAdded(FOLDomainSkolemConstantAddedEvent) - Method in interface aima.core.logic.fol.domain.FOLDomainListener
-
- skolemFunctionAdded(FOLDomainSkolemFunctionAddedEvent) - Method in interface aima.core.logic.fol.domain.FOLDomainListener
-
- SolutionChecker - Interface in aima.core.search.framework
-
A specialization of the GoalTest interface so that it is possible
to check the solution once a goal has been identified to determine if it is
acceptable.
- SolutionStrategy - Class in aima.core.search.csp
-
Base class for CSP solver implementations.
- SolutionStrategy() - Constructor for class aima.core.search.csp.SolutionStrategy
-
- solve(Set<Clause>) - Method in interface aima.core.logic.propositional.inference.SATSolver
-
Solve a given problem in CNF format.
- solve(CSP) - Method in class aima.core.search.csp.BacktrackingStrategy
-
- solve(CSP) - Method in class aima.core.search.csp.ImprovedBacktrackingStrategy
-
Starts with a constraint propagation if AC-3 is enabled and then calls
the super class implementation.
- solve(CSP) - Method in class aima.core.search.csp.MinConflictsStrategy
-
- solve(CSP) - Method in class aima.core.search.csp.SolutionStrategy
-
Returns a solution to the specified CSP, which specifies values for all
the variables such that the constraints are satisfied.
- solve(CSP) - Method in class aima.core.search.csp.TreeCSPSolver
-
- solve(Matrix) - Method in class aima.core.util.math.LUDecomposition
-
Solve A*X = B
- solve(Matrix) - Method in class aima.core.util.math.Matrix
-
Solve A*X = B
- solveTranspose(Matrix) - Method in class aima.core.util.math.Matrix
-
Solve X*A = B, which is also A'*X' = B'
- someClauseFalse(Set<Clause>, Model) - Method in class aima.core.logic.propositional.inference.DPLLSatisfiable
-
- sortAuthority(List<Page>) - Method in class aima.core.nlp.ranking.HITS
-
Organize the list of pages according to their descending Authority Scores
- sortHub(List<Page>) - Method in class aima.core.nlp.ranking.HITS
-
Organize the list of pages according to their descending Hub scores.
- south() - Method in class aima.core.util.datastructure.XYLocation
-
Returns the location one unit behind, this location.
- specification - Variable in class aima.core.learning.framework.DataSet
-
- splitByAttribute(String) - Method in class aima.core.learning.framework.DataSet
-
- SPRINKLER_RV - Static variable in class aima.core.probability.example.ExampleRV
-
- standardizeApart(Sentence) - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- standardizeApart(Clause) - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- standardizeApart(Chain) - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- StandardizeApart - Class in aima.core.logic.fol
-
- StandardizeApart() - Constructor for class aima.core.logic.fol.StandardizeApart
-
- StandardizeApart(VariableCollector, SubstVisitor) - Constructor for class aima.core.logic.fol.StandardizeApart
-
- standardizeApart(Sentence, StandardizeApartIndexical) - Method in class aima.core.logic.fol.StandardizeApart
-
- standardizeApart(Clause, StandardizeApartIndexical) - Method in class aima.core.logic.fol.StandardizeApart
-
- standardizeApart(Chain, StandardizeApartIndexical) - Method in class aima.core.logic.fol.StandardizeApart
-
- standardizeApart(List<Literal>, List<Literal>, StandardizeApartIndexical) - Method in class aima.core.logic.fol.StandardizeApart
-
- standardizeApart(Chain, int) - Static method in class aima.core.logic.fol.StandardizeApartInPlace
-
- standardizeApart(Clause, int) - Static method in class aima.core.logic.fol.StandardizeApartInPlace
-
- StandardizeApartIndexical - Interface in aima.core.logic.fol
-
- StandardizeApartIndexicalFactory - Class in aima.core.logic.fol
-
This class ensures unique standardize apart indexicals are created.
- StandardizeApartIndexicalFactory() - Constructor for class aima.core.logic.fol.StandardizeApartIndexicalFactory
-
- StandardizeApartInPlace - Class in aima.core.logic.fol
-
- StandardizeApartInPlace() - Constructor for class aima.core.logic.fol.StandardizeApartInPlace
-
- StandardizeApartResult - Class in aima.core.logic.fol
-
- StandardizeApartResult(Sentence, Sentence, Map<Variable, Term>, Map<Variable, Term>) - Constructor for class aima.core.logic.fol.StandardizeApartResult
-
- State - Interface in aima.core.agent
-
Artificial Intelligence A Modern Approach (3rd Edition): pg 50.
The most effective way to handle partial observability is for the agent to
keep track of the part of the world it can't see now.
- state - Variable in class aima.core.environment.map.MapAgent
-
- state - Variable in class aima.core.environment.map.SimpleMapAgent
-
- state() - Method in class aima.core.learning.reinforcement.example.CellWorldPercept
-
- state() - Method in interface aima.core.learning.reinforcement.PerceptStateReward
-
- stateChanged(Assignment, CSP) - Method in interface aima.core.search.csp.CSPStateListener
-
Informs about changed assignments.
- stateChanged(CSP) - Method in interface aima.core.search.csp.CSPStateListener
-
Informs about changed domains (inferences).
- states() - Method in class aima.core.probability.mdp.impl.MDP
-
- states() - Method in interface aima.core.probability.mdp.MarkovDecisionProcess
-
Get the set of states associated with the Markov decision process.
- STENCH - Static variable in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- step() - Method in interface aima.core.agent.Environment
-
Move the Environment one time step forward.
- step(int) - Method in interface aima.core.agent.Environment
-
Move the Environment n time steps forward.
- step() - Method in class aima.core.agent.impl.AbstractEnvironment
-
Central template method for controlling agent simulation.
- step(int) - Method in class aima.core.agent.impl.AbstractEnvironment
-
- stepCostFunction - Variable in class aima.core.search.framework.problem.Problem
-
- StepCostFunction - Interface in aima.core.search.framework.problem
-
Artificial Intelligence A Modern Approach (3rd Edition): page 68.
The step cost of taking action a in state s to reach state s' is
denoted by c(s, a, s').
- stepCostFunction - Variable in class aima.core.search.nondeterministic.NondeterministicProblem
-
- stepCostFunction - Variable in class aima.core.search.online.OnlineSearchProblem
-
- stepFinished(Set<Clause>, InferenceResult) - Method in interface aima.core.logic.fol.inference.trace.FOLTFMResolutionTracer
-
- stepInnerFor(Clause, Clause) - Method in interface aima.core.logic.fol.inference.trace.FOLTFMResolutionTracer
-
- stepOuterFor(Clause) - Method in interface aima.core.logic.fol.inference.trace.FOLTFMResolutionTracer
-
- stepResolved(Clause, Clause, Set<Clause>) - Method in interface aima.core.logic.fol.inference.trace.FOLTFMResolutionTracer
-
- stepStartWhile(Set<Clause>, int, int) - Method in interface aima.core.logic.fol.inference.trace.FOLTFMResolutionTracer
-
- stepUntilDone() - Method in interface aima.core.agent.Environment
-
Step through time steps until the Environment has no more tasks.
- stepUntilDone() - Method in class aima.core.agent.impl.AbstractEnvironment
-
- STIFF_NECK_RV - Static variable in class aima.core.probability.example.ExampleRV
-
- storeDomainFor(Variable, Domain) - Method in class aima.core.search.csp.DomainRestoreInfo
-
Stores the specified domain for the specified variable if a domain has
not yet been stored for the variable.
- StringAttribute - Class in aima.core.learning.framework
-
- StringAttribute(String, StringAttributeSpecification) - Constructor for class aima.core.learning.framework.StringAttribute
-
- StringAttributeSpecification - Class in aima.core.learning.framework
-
- StringAttributeSpecification(String, List<String>) - Constructor for class aima.core.learning.framework.StringAttributeSpecification
-
- StringAttributeSpecification(String, String[]) - Constructor for class aima.core.learning.framework.StringAttributeSpecification
-
- StumpLearner - Class in aima.core.learning.learners
-
- StumpLearner(DecisionTree, String) - Constructor for class aima.core.learning.learners.StumpLearner
-
- sub(Vector2D) - Method in class aima.core.util.math.geom.shapes.Point2D
-
Subtracts a vector from a point.
This moves the point by vector.getX() in negative X direction and vector.getY() in negative Y direction.
- sub(Vector2D) - Method in class aima.core.util.math.geom.shapes.Vector2D
-
Subtracts a vector from this vector.
- SubsetProposition - Class in aima.core.probability.proposition
-
- SubsetProposition(String, FiniteDomain, RandomVariable) - Constructor for class aima.core.probability.proposition.SubsetProposition
-
- subst(Map<Variable, Term>, Sentence) - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- subst(Map<Variable, Term>, Literal) - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- subst(Map<Variable, Term>, Term) - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- subst(Map<Variable, Term>, Sentence) - Method in class aima.core.logic.fol.SubstVisitor
-
Note: Refer to Artificial Intelligence A Modern Approach (3rd Edition):
page 323.
- subst(Map<Variable, Term>, Term) - Method in class aima.core.logic.fol.SubstVisitor
-
- subst(Map<Variable, Term>, Function) - Method in class aima.core.logic.fol.SubstVisitor
-
- subst(Map<Variable, Term>, Literal) - Method in class aima.core.logic.fol.SubstVisitor
-
- substVisitor - Variable in class aima.core.logic.fol.inference.AbstractModulation
-
- SubstVisitor - Class in aima.core.logic.fol
-
- SubstVisitor() - Constructor for class aima.core.logic.fol.SubstVisitor
-
- subsumes(Clause) - Method in class aima.core.logic.fol.kb.data.Clause
-
- SubsumptionElimination - Class in aima.core.logic.fol
-
Artificial Intelligence A Modern Approach (3rd Edition): page 356.
The subsumption method eliminates all sentences that are subsumed by (that
is, more specific than) an existing sentence in the KB.
- SubsumptionElimination() - Constructor for class aima.core.logic.fol.SubsumptionElimination
-
- SumInlinkHubScore(Page) - Method in class aima.core.nlp.ranking.HITS
-
Calculate the Authority score of a page by summing the Hub scores of that
page's inlinks.
- sumOfSquares(List<T>) - Static method in class aima.core.util.Util
-
- sumOut(RandomVariable...) - Method in interface aima.core.probability.Factor
-
Sum out the provided variables from this Factor creating a new Factor of
the remaining variables with their values updated with the summed out
random variables.
see: AIMA3e page 527.
- sumOut(RandomVariable...) - Method in class aima.core.probability.util.ProbabilityTable
-
- SumOutlinkAuthorityScore(Page) - Method in class aima.core.nlp.ranking.HITS
-
Calculate the Hub score of a page by summing the Authority scores of that
page's outlinks.
- SVGGroupParser - Class in aima.core.util.math.geom
-
- SVGGroupParser() - Constructor for class aima.core.util.math.geom.SVGGroupParser
-
- SYDNEY - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfAustralia
-
- SYMBOL - Static variable in interface aima.core.logic.common.LogicTokenTypes
-
- SymbolCollector - Class in aima.core.logic.propositional.visitors
-
Utility class for collecting propositional symbols from sentences.
- SymbolCollector() - Constructor for class aima.core.logic.propositional.visitors.SymbolCollector
-
- T - Static variable in class aima.core.search.csp.examples.MapCSP
-
- Table<RowHeaderType,ColumnHeaderType,ValueType> - Class in aima.core.util.datastructure
-
- Table(List<RowHeaderType>, List<ColumnHeaderType>) - Constructor for class aima.core.util.datastructure.Table
-
Constructs a Table with the specified row and column headers.
- TableDrivenAgentProgram - Class in aima.core.agent.impl.aprog
-
Artificial Intelligence A Modern Approach (3rd Edition): Figure 2.7, page 47.
- TableDrivenAgentProgram(Map<List<Percept>, Action>) - Constructor for class aima.core.agent.impl.aprog.TableDrivenAgentProgram
-
Constructs a TableDrivenAgentProgram with a table of actions, indexed by
percept sequences.
- TableDrivenVacuumAgent - Class in aima.core.environment.vacuum
-
Artificial Intelligence A Modern Approach (3rd Edition): Figure 2.3, page 36.
Figure 2.3 Partial tabulation of a simple agent function for the
vacuum-cleaner world shown in Figure 2.2.
- TableDrivenVacuumAgent() - Constructor for class aima.core.environment.vacuum.TableDrivenVacuumAgent
-
- TAMWORTH - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfAustralia
-
- targetColumnNumbers - Variable in class aima.core.learning.neural.NNDataSet
-
- targetValue() - Method in class aima.core.learning.framework.Example
-
- tell(String) - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- tell(List<? extends Sentence>) - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- tell(Sentence) - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- tell(String) - Method in class aima.core.logic.propositional.kb.KnowledgeBase
-
Adds the specified sentence to the knowledge base.
- tell(Sentence) - Method in class aima.core.logic.propositional.kb.KnowledgeBase
-
Adds the specified sentence to the knowledge base.
- tellAll(String[]) - Method in class aima.core.logic.propositional.kb.KnowledgeBase
-
Each time the agent program is called, it TELLS the knowledge base what
it perceives.
- tellTemporalPhysicsSentences(int) - Method in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
TELL the KB the temporal "physics" sentences for time t
- TENNANT_CREEK - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfAustralia
-
- Term - Interface in aima.core.logic.fol.parsing.ast
-
- TermEquality - Class in aima.core.logic.fol.parsing.ast
-
- TermEquality(Term, Term) - Constructor for class aima.core.logic.fol.parsing.ast.TermEquality
-
- terminals - Variable in class aima.core.nlp.parsing.grammars.ProbUnrestrictedGrammar
-
- TermProposition - Interface in aima.core.probability.proposition
-
A proposition on a single variable term.
- test(DataSet) - Method in interface aima.core.learning.framework.Learner
-
Returns the accuracy of the hypothesis on the specified set of examples
- test(DataSet) - Method in class aima.core.learning.learners.AdaBoostLearner
-
- test(DataSet) - Method in class aima.core.learning.learners.CurrentBestLearner
-
- test(DataSet) - Method in class aima.core.learning.learners.DecisionListLearner
-
- test(DataSet) - Method in class aima.core.learning.learners.DecisionTreeLearner
-
- test(DataSet) - Method in class aima.core.learning.learners.MajorityLearner
-
- testOn(DataSet) - Method in class aima.core.learning.neural.FeedForwardNeuralNetwork
-
- testOnDataSet(NNDataSet) - Method in class aima.core.learning.neural.FeedForwardNeuralNetwork
-
- testOnDataSet(NNDataSet) - Method in class aima.core.learning.neural.Perceptron
-
Returns the accuracy of the hypothesis on the specified set of examples
- TicTacToeGame - Class in aima.core.environment.tictactoe
-
Provides an implementation of the Tic-tac-toe game which can be used for
experiments with the Minimax algorithm.
- TicTacToeGame() - Constructor for class aima.core.environment.tictactoe.TicTacToeGame
-
- TicTacToeState - Class in aima.core.environment.tictactoe
-
A state of the Tic-tac-toe game is characterized by a board containing
symbols X and O, the next player to move, and an utility information.
- TicTacToeState() - Constructor for class aima.core.environment.tictactoe.TicTacToeState
-
- TIME_IN_MILLISECONDS - Static variable in class aima.core.search.local.GeneticAlgorithm
-
- times(double) - Method in class aima.core.util.math.Matrix
-
Multiply a matrix by a scalar, C = s*A
- times(Matrix) - Method in class aima.core.util.math.Matrix
-
Linear algebraic matrix multiplication, A * B
- timesEquals(double) - Method in class aima.core.util.math.Matrix
-
Multiply a matrix by a scalar in place, A = s*A
- TIMISOARA - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfPartOfRomania
-
- Token - Class in aima.core.logic.common
-
A token generated by a lexer from a sequence of characters.
- Token(int, String, int) - Constructor for class aima.core.logic.common.Token
-
Constructs a token from the specified token-name and attribute-value
- TOOTHACHE_RV - Static variable in class aima.core.probability.example.ExampleRV
-
- topologicalSort(CSP, List<Variable>, Variable) - Method in class aima.core.search.csp.TreeCSPSolver
-
- toString() - Method in class aima.core.agent.impl.aprog.simplerule.ANDCondition
-
- toString() - Method in class aima.core.agent.impl.aprog.simplerule.EQUALCondition
-
- toString() - Method in class aima.core.agent.impl.aprog.simplerule.NOTCondition
-
- toString() - Method in class aima.core.agent.impl.aprog.simplerule.ORCondition
-
- toString() - Method in class aima.core.agent.impl.aprog.simplerule.Rule
-
- toString() - Method in class aima.core.agent.impl.ObjectWithDynamicAttributes
-
- toString() - Method in class aima.core.environment.cellworld.Cell
-
- toString() - Method in class aima.core.environment.eightpuzzle.EightPuzzleBoard
-
- toString() - Method in class aima.core.environment.nqueens.NQueensBoard
-
- toString() - Method in class aima.core.environment.tictactoe.TicTacToeState
-
- toString() - Method in class aima.core.environment.vacuum.LocalVacuumEnvironmentPercept
-
Return string representation of this percept.
- toString() - Method in class aima.core.environment.vacuum.VacuumEnvironmentState
-
Returns a string representation of the environment
- toString() - Method in class aima.core.environment.wumpusworld.AgentPercept
-
- toString() - Method in enum aima.core.environment.wumpusworld.AgentPosition.Orientation
-
- toString() - Method in class aima.core.environment.wumpusworld.AgentPosition
-
- toString() - Method in class aima.core.environment.wumpusworld.Room
-
- toString() - Method in class aima.core.environment.wumpusworld.WumpusKnowledgeBase
-
- toString() - Method in class aima.core.learning.framework.Example
-
- toString() - Method in class aima.core.learning.inductive.ConstantDecisonTree
-
- toString(int, StringBuffer) - Method in class aima.core.learning.inductive.ConstantDecisonTree
-
- toString() - Method in class aima.core.learning.inductive.DecisionList
-
- toString() - Method in class aima.core.learning.inductive.DecisionTree
-
- toString(int, StringBuffer) - Method in class aima.core.learning.inductive.DecisionTree
-
- toString() - Method in class aima.core.learning.inductive.DLTest
-
- toString() - Method in class aima.core.learning.knowledge.FOLExample
-
- toString() - Method in class aima.core.logic.common.Token
-
- toString() - Method in class aima.core.logic.fol.inference.proof.ProofFinal
-
- toString() - Method in class aima.core.logic.fol.kb.data.Chain
-
- toString() - Method in class aima.core.logic.fol.kb.data.Clause
-
- toString() - Method in class aima.core.logic.fol.kb.data.CNF
-
- toString() - Method in class aima.core.logic.fol.kb.data.Literal
-
- toString() - Method in class aima.core.logic.fol.kb.data.ReducedLiteral
-
- toString() - Method in class aima.core.logic.fol.kb.FOLKnowledgeBase
-
- toString() - Method in class aima.core.logic.fol.parsing.ast.ConnectedSentence
-
- toString() - Method in class aima.core.logic.fol.parsing.ast.Constant
-
- toString() - Method in class aima.core.logic.fol.parsing.ast.Function
-
- toString() - Method in class aima.core.logic.fol.parsing.ast.NotSentence
-
- toString() - Method in class aima.core.logic.fol.parsing.ast.Predicate
-
- toString() - Method in class aima.core.logic.fol.parsing.ast.QuantifiedSentence
-
- toString() - Method in class aima.core.logic.fol.parsing.ast.TermEquality
-
- toString() - Method in class aima.core.logic.fol.parsing.ast.Variable
-
- toString() - Method in class aima.core.logic.propositional.kb.data.Clause
-
- toString() - Method in class aima.core.logic.propositional.kb.data.ConjunctionOfClauses
-
- toString() - Method in class aima.core.logic.propositional.kb.data.Literal
-
- toString() - Method in class aima.core.logic.propositional.kb.data.Model
-
- toString() - Method in class aima.core.logic.propositional.kb.KnowledgeBase
-
- toString() - Method in class aima.core.logic.propositional.parsing.ast.ComplexSentence
-
- toString() - Method in enum aima.core.logic.propositional.parsing.ast.Connective
-
- toString() - Method in class aima.core.logic.propositional.parsing.ast.PropositionSymbol
-
- toString() - Method in class aima.core.nlp.parsing.grammars.ProbUnrestrictedGrammar
-
- toString() - Method in class aima.core.nlp.parsing.grammars.Rule
-
- toString() - Method in class aima.core.probability.bayes.impl.AbstractNode
-
- toString() - Method in class aima.core.probability.domain.AbstractFiniteDomain
-
- toString() - Method in class aima.core.probability.proposition.AssignmentProposition
-
- toString() - Method in class aima.core.probability.proposition.ConjunctiveProposition
-
- toString() - Method in class aima.core.probability.proposition.DisjunctiveProposition
-
- toString() - Method in class aima.core.probability.proposition.EquivalentProposition
-
- toString() - Method in class aima.core.probability.proposition.IntegerSumProposition
-
- toString() - Method in class aima.core.probability.proposition.NotProposition
-
- toString() - Method in class aima.core.probability.proposition.SubsetProposition
-
- toString() - Method in class aima.core.probability.util.ProbabilityTable
-
- toString() - Method in class aima.core.probability.util.RandVar
-
- toString() - Method in class aima.core.robotics.impl.datatypes.AbstractRangeReading
-
- toString() - Method in class aima.core.search.csp.Assignment
-
- toString() - Method in class aima.core.search.csp.Domain
-
- toString() - Method in class aima.core.search.csp.DomainRestoreInfo
-
- toString() - Method in class aima.core.search.csp.Variable
-
- toString() - Method in class aima.core.search.framework.Metrics
-
Sorts the key-value pairs by key names and formats them as equations.
- toString() - Method in class aima.core.search.framework.Node
-
- toString() - Method in class aima.core.search.local.Individual
-
- toString() - Method in class aima.core.search.nondeterministic.IfStateThenPlan
-
Return string representation of this if-then-else
- toString() - Method in class aima.core.search.nondeterministic.Plan
-
Returns the string representation of this plan
- toString() - Method in class aima.core.util.datastructure.Pair
-
- toString() - Method in class aima.core.util.datastructure.Table
-
- toString() - Method in class aima.core.util.datastructure.Triplet
-
- toString() - Method in class aima.core.util.datastructure.XYLocation
-
- toString() - Method in class aima.core.util.FrequencyCounter
-
- toString() - Method in class aima.core.util.math.Interval
-
- toString() - Method in class aima.core.util.math.Matrix
-
- toString() - Method in class aima.core.util.math.MixedRadixNumber
-
- TOWNSVILLE - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfAustralia
-
- trace() - Method in class aima.core.util.math.Matrix
-
Matrix trace.
- traceProgress(int, Collection<Individual<A>>) - Method in interface aima.core.search.local.GeneticAlgorithm.ProgressTracer
-
- train(DataSet) - Method in interface aima.core.learning.framework.Learner
-
- train(DataSet) - Method in class aima.core.learning.learners.AdaBoostLearner
-
- train(DataSet) - Method in class aima.core.learning.learners.CurrentBestLearner
-
- train(DataSet) - Method in class aima.core.learning.learners.DecisionListLearner
-
Induces the decision list from the specified set of examples
- train(DataSet) - Method in class aima.core.learning.learners.DecisionTreeLearner
-
Induces the decision tree from the specified set of examples
- train(DataSet) - Method in class aima.core.learning.learners.MajorityLearner
-
- train(DataSet) - Method in class aima.core.learning.learners.StumpLearner
-
- trainOn(NNDataSet, int) - Method in class aima.core.learning.neural.FeedForwardNeuralNetwork
-
- trainOn(NNDataSet, int) - Method in class aima.core.learning.neural.Perceptron
-
Induces the layer of this perceptron from the specified set of examples
- transform(TransformMatrix2D) - Method in class aima.core.util.math.geom.shapes.Circle2D
-
- transform(TransformMatrix2D) - Method in class aima.core.util.math.geom.shapes.Ellipse2D
-
- transform(TransformMatrix2D) - Method in interface aima.core.util.math.geom.shapes.IGeometric2D
-
- transform(TransformMatrix2D) - Method in class aima.core.util.math.geom.shapes.Line2D
-
- transform(TransformMatrix2D) - Method in class aima.core.util.math.geom.shapes.Polyline2D
-
- transform(TransformMatrix2D) - Method in class aima.core.util.math.geom.shapes.Ray2D
-
Calculates a transformation matrix onto the ray.
- transform(TransformMatrix2D) - Method in class aima.core.util.math.geom.shapes.Rect2D
-
- TransformMatrix2D - Class in aima.core.util.math.geom.shapes
-
Implements a transformation matrix for two-dimensional geometry.
This is based on the svg standard, but does not implement the skewX and skewY operations.
- transitionProbability(S, S, A) - Method in class aima.core.probability.mdp.impl.MDP
-
- transitionProbability(S, S, A) - Method in interface aima.core.probability.mdp.MarkovDecisionProcess
-
Return the probability of going from state s using action a to s' based
on the underlying transition model P(s' | s, a).
- TransitionProbabilityFunction<S,A extends Action> - Interface in aima.core.probability.mdp
-
An interface for MDP transition probability functions.
- translate(double, double) - Static method in class aima.core.util.math.geom.shapes.TransformMatrix2D
-
Produces a transformation matrix representing a translation operation.
- translateToSAT(SATPlan.Describe, SATPlan.Describe, SATPlan.Describe, int) - Method in class aima.core.logic.propositional.inference.SATPlan
-
- transpose() - Method in class aima.core.util.math.Matrix
-
Matrix transpose.
- TreeCSPSolver - Class in aima.core.search.csp
-
Artificial Intelligence A Modern Approach (3rd Ed.): Figure 6.11, Page
224.
- TreeCSPSolver() - Constructor for class aima.core.search.csp.TreeCSPSolver
-
- TreeSearch - Class in aima.core.search.framework.qsearch
-
Artificial Intelligence A Modern Approach (3rd Edition): Figure 3.7, page 77.
- TreeSearch() - Constructor for class aima.core.search.framework.qsearch.TreeSearch
-
- TreeSearch(NodeExpander) - Constructor for class aima.core.search.framework.qsearch.TreeSearch
-
- Triplet<X,Y,Z> - Class in aima.core.util.datastructure
-
- Triplet(X, Y, Z) - Constructor for class aima.core.util.datastructure.Triplet
-
Constructs a triplet with three specified elements.
- TRUE - Static variable in interface aima.core.logic.common.LogicTokenTypes
-
- TRUE - Static variable in class aima.core.logic.propositional.parsing.ast.PropositionSymbol
-
- TRUE_SYMBOL - Static variable in class aima.core.logic.propositional.parsing.ast.PropositionSymbol
-
- tryWithAnotherGoal() - Method in class aima.core.search.framework.ProblemSolvingAgent
-
Primitive operation, which decides after a search for a plan failed,
whether to stop the whole task with a failure, or to go on with
formulating another goal.
- ttCheckAll(KnowledgeBase, Sentence, List<PropositionSymbol>, Model) - Method in class aima.core.logic.propositional.inference.TTEntails
-
function TT-CHECK-ALL(KB, α symbols, model) returns true or false
- TTEntails - Class in aima.core.logic.propositional.inference
-
Artificial Intelligence A Modern Approach (3rd Edition): Figure 7.10, page
248.
- TTEntails() - Constructor for class aima.core.logic.propositional.inference.TTEntails
-
- ttEntails(KnowledgeBase, Sentence) - Method in class aima.core.logic.propositional.inference.TTEntails
-
function TT-ENTAILS?(KB, α) returns true or false.
- TURN_LEFT_ACTION_NAME - Static variable in class aima.core.environment.wumpusworld.action.TurnLeft
-
- TURN_RIGHT_ACTION_NAME - Static variable in class aima.core.environment.wumpusworld.action.TurnRight
-
- TurnLeft - Class in aima.core.environment.wumpusworld.action
-
Artificial Intelligence A Modern Approach (3rd Edition): page 237.
The agent can TurnLeft by 90 degrees.
- TurnLeft(AgentPosition.Orientation) - Constructor for class aima.core.environment.wumpusworld.action.TurnLeft
-
Constructor.
- TurnRight - Class in aima.core.environment.wumpusworld.action
-
Artificial Intelligence A Modern Approach (3rd Edition): page 237.
The agent can TurnRight by 90 degrees.
- TurnRight(AgentPosition.Orientation) - Constructor for class aima.core.environment.wumpusworld.action.TurnRight
-
Constructor.
- TwoKeyHashMap<K1,K2,V> - Class in aima.core.util.datastructure
-
Provides a hash map which is indexed by two keys.
- TwoKeyHashMap() - Constructor for class aima.core.util.datastructure.TwoKeyHashMap
-
- type - Variable in class aima.core.nlp.parsing.grammars.ProbUnrestrictedGrammar
-
- V - Static variable in class aima.core.search.csp.examples.MapCSP
-
- VacuumEnvironment - Class in aima.core.environment.vacuum
-
Artificial Intelligence A Modern Approach (3rd Edition): pg 58.
Let the world contain just two locations.
- VacuumEnvironment() - Constructor for class aima.core.environment.vacuum.VacuumEnvironment
-
Constructs a vacuum environment with two locations, in which dirt is
placed at random.
- VacuumEnvironment(VacuumEnvironment.LocationState, VacuumEnvironment.LocationState) - Constructor for class aima.core.environment.vacuum.VacuumEnvironment
-
Constructs a vacuum environment with two locations, in which dirt is
placed as specified.
- VacuumEnvironment.LocationState - Enum in aima.core.environment.vacuum
-
- VacuumEnvironmentState - Class in aima.core.environment.vacuum
-
Represents a state in the Vacuum World
- VacuumEnvironmentState() - Constructor for class aima.core.environment.vacuum.VacuumEnvironmentState
-
Constructor
- VacuumEnvironmentState(VacuumEnvironment.LocationState, VacuumEnvironment.LocationState) - Constructor for class aima.core.environment.vacuum.VacuumEnvironmentState
-
Constructor
- VacuumEnvironmentViewActionTracker - Class in aima.core.environment.vacuum
-
- VacuumEnvironmentViewActionTracker(StringBuilder) - Constructor for class aima.core.environment.vacuum.VacuumEnvironmentViewActionTracker
-
- VacuumWorldActions - Class in aima.core.environment.vacuum
-
Specifies the actions available to the agent at state s
- VacuumWorldActions() - Constructor for class aima.core.environment.vacuum.VacuumWorldActions
-
- VacuumWorldGoalTest - Class in aima.core.environment.vacuum
-
Tests for goals states
- VacuumWorldGoalTest(Agent) - Constructor for class aima.core.environment.vacuum.VacuumWorldGoalTest
-
Constructor
- VacuumWorldResults - Class in aima.core.environment.vacuum
-
Returns possible results
- VacuumWorldResults(Agent) - Constructor for class aima.core.environment.vacuum.VacuumWorldResults
-
Constructor
- validatePopulation(Collection<Individual<A>>) - Method in class aima.core.search.local.GeneticAlgorithm
-
- validateRuleProbabilities(List<Rule>) - Method in interface aima.core.nlp.parsing.grammars.ProbabilisticGrammar
-
- validateRuleProbabilities(List<Rule>) - Method in class aima.core.nlp.parsing.grammars.ProbUnrestrictedGrammar
-
For a set of rules, test whether each batch of rules with the same
LHS have their probabilities sum to exactly 1.0
- validRule(Rule) - Method in interface aima.core.nlp.parsing.grammars.ProbabilisticGrammar
-
- validRule(Rule) - Method in class aima.core.nlp.parsing.grammars.ProbCNFGrammar
-
For a grammar rule to be valid in a context-free grammar,
all the restrictions of the context-free grammar must hold,
and the rule must be in one of three forms.
- validRule(Rule) - Method in class aima.core.nlp.parsing.grammars.ProbContextFreeGrammar
-
For a grammar rule to be valid in a context-free grammar,
all the restrictions of the parent grammars must hold, and the restriction
of the context-free grammar must hold.
- validRule(Rule) - Method in class aima.core.nlp.parsing.grammars.ProbContextSensitiveGrammar
-
For a grammar rule to be valid in a context sensitive grammar,
all the restrictions of the parent grammar (unrestricted) must hold,
and the number of RHS symbols must be equal or greater than the number
of LHS symbols.
- validRule(Rule) - Method in class aima.core.nlp.parsing.grammars.ProbUnrestrictedGrammar
-
Test validity of the LHS and RHS of grammar rule.
- valueAsDouble() - Method in class aima.core.learning.framework.NumericAttribute
-
- valueAsString() - Method in interface aima.core.learning.framework.Attribute
-
- valueAsString() - Method in class aima.core.learning.framework.NumericAttribute
-
- valueAsString() - Method in class aima.core.learning.framework.StringAttribute
-
- ValueIteration<S,A extends Action> - Class in aima.core.probability.mdp.search
-
Artificial Intelligence A Modern Approach (3rd Edition): page 653.
- ValueIteration(double) - Constructor for class aima.core.probability.mdp.search.ValueIteration
-
Constructor.
- valueIteration(MarkovDecisionProcess<S, A>, double) - Method in class aima.core.probability.mdp.search.ValueIteration
-
The value iteration algorithm for calculating the utility of states.
- valueOf(String) - Static method in enum aima.core.environment.cellworld.CellWorldAction
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum aima.core.environment.nqueens.NQueensBoard.Config
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum aima.core.environment.vacuum.VacuumEnvironment.LocationState
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum aima.core.environment.wumpusworld.AgentPosition.Orientation
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum aima.core.logic.propositional.parsing.ast.Connective
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum aima.core.search.csp.ImprovedBacktrackingStrategy.Inference
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum aima.core.search.csp.ImprovedBacktrackingStrategy.Selection
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum aima.core.search.local.HillClimbingSearch.SearchOutcome
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum aima.core.search.local.SimulatedAnnealingSearch.SearchOutcome
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum aima.core.util.datastructure.XYLocation.Direction
-
Returns the enum constant of this type with the specified name.
- values() - Static method in enum aima.core.environment.cellworld.CellWorldAction
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum aima.core.environment.nqueens.NQueensBoard.Config
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum aima.core.environment.vacuum.VacuumEnvironment.LocationState
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum aima.core.environment.wumpusworld.AgentPosition.Orientation
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum aima.core.logic.propositional.parsing.ast.Connective
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum aima.core.search.csp.ImprovedBacktrackingStrategy.Inference
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum aima.core.search.csp.ImprovedBacktrackingStrategy.Selection
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum aima.core.search.local.HillClimbingSearch.SearchOutcome
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum aima.core.search.local.SimulatedAnnealingSearch.SearchOutcome
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum aima.core.util.datastructure.XYLocation.Direction
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- VARIABLE - Static variable in interface aima.core.logic.common.LogicTokenTypes
-
- Variable - Class in aima.core.logic.fol.parsing.ast
-
- Variable(String) - Constructor for class aima.core.logic.fol.parsing.ast.Variable
-
- Variable(String, int) - Constructor for class aima.core.logic.fol.parsing.ast.Variable
-
- Variable - Class in aima.core.search.csp
-
A variable is a distinguishable object with a name.
- Variable(String) - Constructor for class aima.core.search.csp.Variable
-
- variableCollector - Variable in class aima.core.logic.fol.inference.AbstractModulation
-
- VariableCollector - Class in aima.core.logic.fol
-
- VariableCollector() - Constructor for class aima.core.logic.fol.VariableCollector
-
- variables - Variable in class aima.core.probability.bayes.impl.BayesNet
-
- vars - Variable in class aima.core.nlp.parsing.grammars.ProbUnrestrictedGrammar
-
- varToNodeMap - Variable in class aima.core.probability.bayes.impl.BayesNet
-
- VASLUI - Static variable in class aima.core.environment.map.SimplifiedRoadMapOfPartOfRomania
-
- vec(Point2D) - Method in class aima.core.util.math.geom.shapes.Point2D
-
Calculates the vector between this point and the target point.
- Vector - Class in aima.core.util.math
-
- Vector(int) - Constructor for class aima.core.util.math.Vector
-
Constructs a vector with the specified size.
- Vector(List<Double>) - Constructor for class aima.core.util.math.Vector
-
Constructs a vector with the specified list of values.
- Vector2D - Class in aima.core.util.math.geom.shapes
-
This class represents a vector in a two-dimensional Cartesian plot.
Simple arithmetic operations are supported.
- Vector2D(double, double) - Constructor for class aima.core.util.math.geom.shapes.Vector2D
-
- views - Variable in class aima.core.agent.impl.AbstractEnvironment
-
- visitBinarySentence(ComplexSentence, Boolean) - Method in class aima.core.logic.propositional.kb.data.Model
-
- visitBinarySentence(ComplexSentence, A) - Method in class aima.core.logic.propositional.parsing.AbstractPLVisitor
-
- visitBinarySentence(ComplexSentence, A) - Method in interface aima.core.logic.propositional.parsing.PLVisitor
-
Visit a binary complex sentence (e.g.
- visitBinarySentence(ComplexSentence, Set<T>) - Method in class aima.core.logic.propositional.visitors.BasicGatherer
-
- visitBinarySentence(ComplexSentence, Object) - Method in class aima.core.logic.propositional.visitors.BiconditionalElimination
-
- visitBinarySentence(ComplexSentence, Set<Clause>) - Method in class aima.core.logic.propositional.visitors.ClauseCollector
-
- visitBinarySentence(ComplexSentence, Object) - Method in class aima.core.logic.propositional.visitors.DistributeAndOverOr
-
- visitBinarySentence(ComplexSentence, Object) - Method in class aima.core.logic.propositional.visitors.DistributeOrOverAnd
-
- visitBinarySentence(ComplexSentence, Object) - Method in class aima.core.logic.propositional.visitors.ImplicationElimination
-
- visitConnectedSentence(ConnectedSentence, Object) - Method in class aima.core.logic.fol.inference.AbstractModulation.IdentifyCandidateMatchingTerm
-
- visitConnectedSentence(ConnectedSentence, Object) - Method in class aima.core.logic.fol.inference.AbstractModulation.ReplaceMatchingTerm
-
- visitConnectedSentence(ConnectedSentence, Object) - Method in class aima.core.logic.fol.parsing.AbstractFOLVisitor
-
- visitConnectedSentence(ConnectedSentence, Object) - Method in interface aima.core.logic.fol.parsing.FOLVisitor
-
- visitConnectedSentence(ConnectedSentence, Object) - Method in class aima.core.logic.fol.PredicateCollector
-
- visitConnectedSentence(ConnectedSentence, Object) - Method in class aima.core.logic.fol.VariableCollector
-
- visitConstant(Constant, Object) - Method in class aima.core.logic.fol.inference.AbstractModulation.IdentifyCandidateMatchingTerm
-
- visitConstant(Constant, Object) - Method in class aima.core.logic.fol.inference.AbstractModulation.ReplaceMatchingTerm
-
- visitConstant(Constant, Object) - Method in class aima.core.logic.fol.parsing.AbstractFOLVisitor
-
- visitConstant(Constant, Object) - Method in interface aima.core.logic.fol.parsing.FOLVisitor
-
- visitConstant(Constant, Object) - Method in class aima.core.logic.fol.PredicateCollector
-
- visitConstant(Constant, Object) - Method in class aima.core.logic.fol.VariableCollector
-
- visitFunction(Function, Object) - Method in class aima.core.logic.fol.inference.AbstractModulation.IdentifyCandidateMatchingTerm
-
- visitFunction(Function, Object) - Method in class aima.core.logic.fol.inference.AbstractModulation.ReplaceMatchingTerm
-
- visitFunction(Function, Object) - Method in class aima.core.logic.fol.parsing.AbstractFOLVisitor
-
- visitFunction(Function, Object) - Method in interface aima.core.logic.fol.parsing.FOLVisitor
-
- visitFunction(Function, Object) - Method in class aima.core.logic.fol.PredicateCollector
-
- visitFunction(Function, Object) - Method in class aima.core.logic.fol.VariableCollector
-
- visitNotSentence(NotSentence, Object) - Method in class aima.core.logic.fol.inference.AbstractModulation.IdentifyCandidateMatchingTerm
-
- visitNotSentence(NotSentence, Object) - Method in class aima.core.logic.fol.inference.AbstractModulation.ReplaceMatchingTerm
-
- visitNotSentence(NotSentence, Object) - Method in class aima.core.logic.fol.parsing.AbstractFOLVisitor
-
- visitNotSentence(NotSentence, Object) - Method in interface aima.core.logic.fol.parsing.FOLVisitor
-
- visitNotSentence(NotSentence, Object) - Method in class aima.core.logic.fol.PredicateCollector
-
- visitNotSentence(NotSentence, Object) - Method in class aima.core.logic.fol.VariableCollector
-
- visitPredicate(Predicate, Object) - Method in class aima.core.logic.fol.inference.AbstractModulation.IdentifyCandidateMatchingTerm
-
- visitPredicate(Predicate, Object) - Method in class aima.core.logic.fol.inference.AbstractModulation.ReplaceMatchingTerm
-
- visitPredicate(Predicate, Object) - Method in class aima.core.logic.fol.parsing.AbstractFOLVisitor
-
- visitPredicate(Predicate, Object) - Method in interface aima.core.logic.fol.parsing.FOLVisitor
-
- visitPredicate(Predicate, Object) - Method in class aima.core.logic.fol.PredicateCollector
-
- visitPredicate(Predicate, Object) - Method in class aima.core.logic.fol.VariableCollector
-
- visitPropositionSymbol(PropositionSymbol, Boolean) - Method in class aima.core.logic.propositional.kb.data.Model
-
- visitPropositionSymbol(PropositionSymbol, A) - Method in class aima.core.logic.propositional.parsing.AbstractPLVisitor
-
- visitPropositionSymbol(PropositionSymbol, A) - Method in interface aima.core.logic.propositional.parsing.PLVisitor
-
Visit a proposition symbol (e.g A).
- visitPropositionSymbol(PropositionSymbol, Set<T>) - Method in class aima.core.logic.propositional.visitors.BasicGatherer
-
- visitPropositionSymbol(PropositionSymbol, Set<Clause>) - Method in class aima.core.logic.propositional.visitors.ClauseCollector
-
- visitPropositionSymbol(PropositionSymbol, Set<PropositionSymbol>) - Method in class aima.core.logic.propositional.visitors.SymbolCollector
-
- visitQuantifiedSentence(QuantifiedSentence, Object) - Method in class aima.core.logic.fol.inference.AbstractModulation.IdentifyCandidateMatchingTerm
-
- visitQuantifiedSentence(QuantifiedSentence, Object) - Method in class aima.core.logic.fol.inference.AbstractModulation.ReplaceMatchingTerm
-
- visitQuantifiedSentence(QuantifiedSentence, Object) - Method in class aima.core.logic.fol.parsing.AbstractFOLVisitor
-
- visitQuantifiedSentence(QuantifiedSentence, Object) - Method in interface aima.core.logic.fol.parsing.FOLVisitor
-
- visitQuantifiedSentence(QuantifiedSentence, Object) - Method in class aima.core.logic.fol.PredicateCollector
-
- visitQuantifiedSentence(QuantifiedSentence, Object) - Method in class aima.core.logic.fol.SubstVisitor
-
- visitQuantifiedSentence(QuantifiedSentence, Object) - Method in class aima.core.logic.fol.VariableCollector
-
- visitTermEquality(TermEquality, Object) - Method in class aima.core.logic.fol.inference.AbstractModulation.IdentifyCandidateMatchingTerm
-
- visitTermEquality(TermEquality, Object) - Method in class aima.core.logic.fol.inference.AbstractModulation.ReplaceMatchingTerm
-
- visitTermEquality(TermEquality, Object) - Method in class aima.core.logic.fol.parsing.AbstractFOLVisitor
-
- visitTermEquality(TermEquality, Object) - Method in interface aima.core.logic.fol.parsing.FOLVisitor
-
- visitTermEquality(TermEquality, Object) - Method in class aima.core.logic.fol.PredicateCollector
-
- visitTermEquality(TermEquality, Object) - Method in class aima.core.logic.fol.VariableCollector
-
- visitUnarySentence(ComplexSentence, Boolean) - Method in class aima.core.logic.propositional.kb.data.Model
-
- visitUnarySentence(ComplexSentence, A) - Method in class aima.core.logic.propositional.parsing.AbstractPLVisitor
-
- visitUnarySentence(ComplexSentence, A) - Method in interface aima.core.logic.propositional.parsing.PLVisitor
-
Visit a unary complex sentence (e.g.
- visitUnarySentence(ComplexSentence, Set<T>) - Method in class aima.core.logic.propositional.visitors.BasicGatherer
-
- visitUnarySentence(ComplexSentence, Set<Clause>) - Method in class aima.core.logic.propositional.visitors.ClauseCollector
-
- visitUnarySentence(ComplexSentence, Object) - Method in class aima.core.logic.propositional.visitors.MoveNotInwards
-
- visitVariable(Variable, Object) - Method in class aima.core.logic.fol.inference.AbstractModulation.IdentifyCandidateMatchingTerm
-
- visitVariable(Variable, Object) - Method in class aima.core.logic.fol.inference.AbstractModulation.ReplaceMatchingTerm
-
- visitVariable(Variable, Object) - Method in class aima.core.logic.fol.parsing.AbstractFOLVisitor
-
- visitVariable(Variable, Object) - Method in interface aima.core.logic.fol.parsing.FOLVisitor
-
- visitVariable(Variable, Object) - Method in class aima.core.logic.fol.PredicateCollector
-
- visitVariable(Variable, Object) - Method in class aima.core.logic.fol.SubstVisitor
-
- visitVariable(Variable, Object) - Method in class aima.core.logic.fol.VariableCollector
-