Index

A

AC3() (in module aima.csp) AC3b() (in module aima.csp) AC4() (in module aima.csp) ac_search_solver() (in module aima.csp) ac_solver() (in module aima.csp) accuracy_score() (in module aima.learning) ACSearchSolver (class in aima.csp) ACSolver (class in aima.csp) act() (Action method) (PlanningProblem method) (RealWorldPlanningProblem method) Action (class in aima.planning) actions() (ACSearchSolver method) (Backgammon method) (BackwardPlan method) (ConnectFour method) (CSP method) (EightPuzzle method) (Fig52Extended method) (Fig52Game method) (ForwardPlan method) (Game method) (GraphProblem method) (GridProblem method) (InstrumentedProblem method) (MDP method) (NPuzzle method) (NQueensProblem method) (OnlineSearchProblem method) (PeakFindingProblem method) (PermutationDecoderProblem method) (PlanRoute method) (PourProblem method) (Problem method) (TextParsingProblem method) (TicTacToe method) (TravelingSalesman method) actions_in_state() (QLearningAgent method) Activation (class in aima.deep_learning) ada_boost() (in module aima.learning) adam() (in module aima.deep_learning) add() (BayesNet method) (CountingProbDist method) (DecisionFork method) (DiscreteBayesNet method) (Matrix static method) (TwoWLClauseDatabase method) add_cond_prob() (NgramWordModel method) add_const() (PartialOrderPlanner method) add_edge() (Chart method) add_example() (DataSet method) add_observer() (XYEnvironment method) add_obstacle() (ContinuousWorld method) add_or() (in module aima.knowledge) add_sequence() (NgramCharModel method) (NgramWordModel method) (UnigramCharModel method) add_temporal_sentences() (WumpusKB method) add_thing() (Environment method) (XYEnvironment method) add_walls() (XYEnvironment method) adjacent_constraint() (in module aima.csp) Agent (class in aima.agents) aima.agents module aima.csp module aima.deep_learning module aima.game_theory module aima.games module aima.ipyviews module

aima.knowledge module aima.learning module aima.logic module aima.making_simple_decisions module aima.mdp module aima.nlp module aima.notebook_utils module aima.perception module aima.planning module aima.probabilistic_learning module aima.probability module aima.reinforcement_learning module aima.search module aima.text module aima.utils module air_cargo() (in module aima.planning) air_cargo_graph_plan() (in module aima.planning) alert() (Canvas method) all_diff_constraint() (in module aima.csp) all_events() (in module aima.probability) all_hypotheses() (in module aima.knowledge) all_shifts() (in module aima.text) alpha_beta_cutoff_search() (in module aima.games) alpha_beta_player() (in module aima.games) alpha_beta_search() (Canvas_alpha_beta method) (in module aima.games) alternating_offers_bargaining() (in module aima.game_theory) and_or_graph_search() (in module aima.search) angelic_action() (AngelicHLA method) angelic_search() (RealWorldPlanningProblem method) AngelicHLA (class in aima.planning) AngelicNode (class in aima.planning) any_holds() (ACSolver method) append() (PriorityQueue method) arc() (Canvas method) arc_n() (Canvas method) argmax_random_tie() (in module aima.utils) argmin_random_tie() (in module aima.utils) arity() (in module aima.utils) array_normalization() (in module aima.perception) Arrow (class in aima.agents) ask() (KB method) ask_generator() (FolKB method) (KB method) (PropDefiniteKB method) (PropKB method) ask_if_true() (PropKB method) (WumpusKB method) assign() (CSP method) (NQueensCSP method) assign_decision_literal() (in module aima.logic) assign_value() (in module aima.csp) associate() (in module aima.logic) astar_search() (in module aima.search) astar_search_parsing() (in module aima.nlp) astar_tree_search() (in module aima.search) attr_num() (DataSet method) AutoencoderLearner() (in module aima.deep_learning)

B

Backgammon (class in aima.games) backjump() (in module aima.logic) BackPropagation() (in module aima.deep_learning) BackPropagationLearner() (in module aima.learning) backtracking_search() (in module aima.csp) backward() (in module aima.probability) BackwardPlan (class in aima.planning) BatchNormalizationLayer (class in aima.deep_learning) baum_welch() (in module aima.probability) BayesNet (class in aima.probability) BayesNode (class in aima.probability) beam_search_parsing() (in module aima.nlp) best_action() (DecisionNetwork method), [1] best_first_graph_search() (in module aima.search) best_first_tree_search() (in module aima.search) best_policy() (in module aima.mdp) bfs() (Graph method) bgrid (Sudoku attribute) bidirectional_search() (in module aima.search)

bigrams() (in module aima.text) blocks_world() (in module aima.planning) board (GameState attribute) (StochasticGameState attribute) boggle_hill_climbing() (in module aima.search) boggle_neighbors() (in module aima.search) BoggleFinder (class in aima.search) Bool (class in aima.utils) borda_winner() (in module aima.game_theory) boxes (Sudoku attribute) breadth_first_graph_search() (in module aima.search) breadth_first_tree_search() (in module aima.search) Breeze (class in aima.agents) breeze() (in module aima.logic) build() (Level method) build_attr_combinations() (in module aima.knowledge) build_h_combinations() (in module aima.knowledge) build_topological() (in module aima.csp) Bump (class in aima.agents)

C

c() (OnlineSearchProblem method) calculate_T() (GridMDP method) can_grab() (Agent method) (Explorer method) canonicalize() (in module aima.text) Canvas (class in aima.notebook_utils) Canvas_alpha_beta (class in aima.notebook_utils) Canvas_fol_bc_ask (class in aima.notebook_utils) Canvas_min_max (class in aima.notebook_utils) Canvas_TicTacToe (class in aima.notebook_utils) cascade_substitution() (in module aima.logic) cdcl_satisfiable() (in module aima.logic) Cell() (Sudoku method) chance (StochasticGameState attribute) chances() (Backgammon method) (StochasticGame method) Chart (class in aima.nlp) check_all_consistency() (in module aima.knowledge) check_consistency() (MDP method) check_example() (DataSet method) check_leveloff() (GraphPlan method) check_me() (DataSet method) check_negative_consistency() (in module aima.knowledge) check_precond() (Action method) check_solvability() (EightPuzzle method) (NPuzzle method) checkers_at_home() (Backgammon method) child_node() (Node method) choices() (CSP method) choose_literal() (FOILContainer method) classes_to_numbers() (DataSet method) clauses_with_premise() (PropDefiniteKB method) clear() (Canvas method) cnf_rules() (Grammar method) (ProbGrammar method) cols (Sudoku attribute) compare() (in module aima.learning) compare_agents() (in module aima.agents) compare_graph_searchers() (in module aima.search) compare_searchers() (in module aima.search) compute_parameters() (AngelicHLA method) compute_utility() (Backgammon method) (TicTacToe method)

conceal() (GraphicEnvironment method) condorcet_winner() (in module aima.game_theory) conflict() (NQueensProblem method) conflict_analysis() (in module aima.logic) conflicted() (NQueensProblem method) conflicted_vars() (CSP method) conjuncts() (in module aima.logic) connect() (Graph method) connect1() (Graph method) ConnectFour (class in aima.games) consistent() (NaryCSP method) consistent_det() (in module aima.knowledge) consistent_with() (in module aima.probability) constant_symbols() (in module aima.logic) Constraint (class in aima.csp) constraints() (CSP method) continuous_p() (ContinuousBayesNode method) ContinuousBayesNode (class in aima.probability) ContinuousMCLmap (class in aima.probability) ContinuousWorld (class in aima.agents) ContinuousWorldView (class in aima.ipyviews) ContinuousXor() (in module aima.learning) contract_net() (in module aima.game_theory) conv1D() (in module aima.utils) ConvergenceDetector (class in aima.nlp) convert() (Action method) (AngelicHLA method) (PartialOrderPlanner method) (PlanningProblem method) ConvLayer1D (class in aima.deep_learning) cost() (InformationGatheringAgent method), [1] count() (in module aima.utils) count_lost_values() (CSP method) CountingProbDist (class in aima.probabilistic_learning) cross_entropy_loss() (in module aima.utils) cross_validation() (in module aima.learning) cross_validation_wrapper() (in module aima.learning) Crossword (class in aima.csp) CSP (class in aima.csp) CSPlan() (in module aima.planning) current_best_learning() (in module aima.knowledge) cyclic() (PartialOrderPlanner method) CYK_parse() (in module aima.nlp)

D

D (Direction attribute) d() (in module aima.logic) DataSet (class in aima.learning) DecisionFork (class in aima.learning) DecisionLeaf (class in aima.learning) DecisionListLearner() (in module aima.learning) DecisionNetwork (class in aima.making_simple_decisions) (class in aima.probability) DecisionTreeLearner() (in module aima.learning) decode() (PermutationDecoder method) (ShiftDecoder method) decompose() (RealWorldPlanningProblem method) default_location() (Environment method) (TrivialVacuumEnvironment method) (XYEnvironment method) defaultkeydict (class in aima.utils) delete_thing() (Environment method) (XYEnvironment method) DenseLayer (class in aima.deep_learning) depth_first_graph_search() (in module aima.search) depth_first_tree_search() (in module aima.search) depth_limited_search() (in module aima.search) derivative() (Activation method) (ELU method) (LeakyReLU method) (Linear method) (ReLU method) (Sigmoid method) (SoftMax method) (SoftPlus method) (Tanh method) detect() (ConvergenceDetector method) determine_inlinks() (in module aima.nlp) diff() (in module aima.logic) different_values_constraint() (in module aima.csp) Direction (class in aima.agents) direction (Explorer attribute) Dirt (class in aima.agents) DiscreteBayesNet (class in aima.probability) DiscreteBayesNode (class in aima.probability) DisjointSets (class in aima.search)

disjunction_value() (in module aima.knowledge) disjuncts() (in module aima.logic) display() (Backgammon method) (Crossword method) (CSP method) (DecisionFork method) (DecisionLeaf method) (Game method) (Kakuro method) (NaryCSP method) (NQueensCSP method) (Sudoku method) (Thing method) (TicTacToe method) display_html() (in module aima.notebook_utils) display_plan() (PartialOrderPlanner method) display_visual() (in module aima.notebook_utils) dissociate() (in module aima.logic) distance() (in module aima.utils) distance_squared() (in module aima.utils) distribute_and_over_or() (in module aima.logic) dlcs() (in module aima.logic) dlis() (in module aima.logic) do_action() (HLA method) Document (class in aima.text) dom_j_up() (in module aima.csp) domain_splitting() (ACSolver method) dominant_strategy() (in module aima.game_theory) dominates() (in module aima.game_theory) dot_product() (in module aima.utils) double_tennis_problem() (in module aima.planning) dpll() (in module aima.logic) dpll_satisfiable() (in module aima.logic) draw_board() (Canvas_TicTacToe method) draw_graph() (Canvas_alpha_beta method) (Canvas_min_max method) draw_o() (Canvas_TicTacToe method) draw_table() (Canvas_fol_bc_ask method) draw_world() (GraphicEnvironment method) draw_x() (Canvas_TicTacToe method) DTAgentProgram() (in module aima.probability) DynamicBayesNet (class in aima.probability)

E

EightPuzzle (class in aima.search) element_wise_product() (in module aima.deep_learning) (in module aima.utils) eliminate_implications() (in module aima.logic) elimination_ask() (in module aima.probability) ELU (class in aima.deep_learning) elu() (in module aima.utils) elu_derivative() (in module aima.utils) encode() (in module aima.text) EnsembleLearner() (in module aima.learning) enumerate_all() (in module aima.probability) enumerate_joint() (in module aima.probability) enumerate_joint_ask() (in module aima.probability) enumeration_ask() (in module aima.probability) Environment (class in aima.agents) equiv() (in module aima.logic) err_ratio() (in module aima.learning) estimate_U() (PassiveDUEAgent method) euclidean_distance() (in module aima.utils) eval_unvisited_mst_edges_sum() (TravelingSalesman method) event_values() (in module aima.probability) exact_sqrt() (in module aima.search) execute() (Canvas method) (GraphPlan method) (HybridWumpusAgent method) (InformationGatheringAgent method), [1] (Linearize method) (PartialOrderPlanner method)

execute_action() (Environment method) (TrivialVacuumEnvironment method) (VacuumEnvironment method) (WumpusEnvironment method) (XYEnvironment method) exogenous_change() (Environment method) exp_schedule() (in module aima.search) expand() (Node method) expand_actions() (PlanningProblem method) expand_fluents() (PlanningProblem method) expand_graph() (Graph method) expand_pages() (in module aima.nlp) expect_minmax() (in module aima.games) expect_minmax_player() (in module aima.games) expected_utility() (in module aima.mdp) Explorer (class in aima.agents) Expr (class in aima.utils) expr() (in module aima.utils) expr_handle_infix_ops() (in module aima.utils) extend() (in module aima.utils) (PriorityQueue method) extend_example() (FOILContainer method) extender() (Chart method) extract_solution() (GraphPlan method) extract_solution_recursive() (GraphPlan method)

F

f() (QLearningAgent method) facing_east() (in module aima.logic) facing_north() (in module aima.logic) facing_south() (in module aima.logic) facing_west() (in module aima.logic) Factor (class in aima.probability) failure_test() (in module aima.utils) false_negative() (in module aima.knowledge) false_positive() (in module aima.knowledge) fetch_rules_for_goal() (FolKB method) Fig52Extended (class in aima.games) Fig52Game (class in aima.games) fill() (Canvas method) filter() (DynamicBayesNet method) (KalmanFilter method) (Linearize method) final_path_colors() (in module aima.notebook_utils) find() (BoggleFinder method) (DisjointSets method) find_action_for_precondition() (PartialOrderPlanner method) find_blank_square() (EightPuzzle method) (NPuzzle method) find_hla() (RealWorldPlanningProblem method) find_max_node() (in module aima.learning) find_means_and_deviations() (DataSet method) find_min_edge() (GraphProblem method) find_mutex() (Level method) find_open_precondition() (PartialOrderPlanner method) find_outlinks() (in module aima.nlp) find_previous_state() (RealWorldPlanningProblem method) find_pure_symbol() (in module aima.logic) find_reachable_set() (RealWorldPlanningProblem method) find_unit_clause() (in module aima.logic) find_valid_action_sets() (GraphPlan method) first() (in module aima.utils) first_choice_hill_climbing() (in module aima.search) first_unassigned_variable() (in module aima.csp) fit() (MultiClassLearner method) (NeuralNetworkLearner method) (PerceptronLearner method) (SVC method) (SVR method)

fitness_threshold() (in module aima.search) fixed_lag_smoothing() (in module aima.probability) flatten() (in module aima.utils) foil() (FOILContainer method) FOILContainer (class in aima.knowledge) fol_bc_and() (in module aima.logic) fol_bc_ask() (Canvas_fol_bc_ask method) (in module aima.logic) fol_bc_or() (in module aima.logic) fol_fc_ask() (in module aima.logic) FolKB (class in aima.logic) font() (Canvas method) formulate_goal() (SimpleProblemSolvingAgentProgram method) formulate_problem() (SimpleProblemSolvingAgentProgram method) forward() (BatchNormalizationLayer method) (ConvLayer1D method) (DenseLayer method) (in module aima.probability) (InputLayer method) (Layer method) (MaxPoolingLayer1D method) (OutputLayer method) forward_backward() (in module aima.probability) forward_checking() (in module aima.csp) ForwardPlan (class in aima.planning) function() (Activation method) (ELU method) (LeakyReLU method) (Linear method) (ReLU method) (Sigmoid method) (SoftMax method) (SoftPlus method) (Tanh method)

G

GAC() (ACSolver method) gain() (FOILContainer method) Game (class in aima.games) GameState (class in aima.games) gaussian() (in module aima.utils) gaussian_derivative_edge_detector() (in module aima.perception) gaussian_kernel() (in module aima.notebook_utils) (in module aima.utils) gaussian_kernel_1D() (in module aima.utils) gaussian_kernel_2D() (in module aima.utils) gaussian_mixture_em() (in module aima.learning) gaussian_probability() (in module aima.probability) gen_discs() (in module aima.perception) gen_gray_scale_picture() (in module aima.perception) gen_grid() (in module aima.mdp) gen_possible_events() (in module aima.probability) generalizations() (in module aima.knowledge) generate_action_object() (PartialOrderPlanner method) generate_edge_weight() (in module aima.perception) generate_expr() (PartialOrderPlanner method) generate_mapping() (POMDP method) generate_random() (Grammar method) (ProbGrammar method) genetic_algorithm() (in module aima.search) genetic_search() (in module aima.search) gensym() (in module aima.logic) get() (Graph method) get_all_moves() (Backgammon method) get_batch() (in module aima.deep_learning) get_clauses() (TwoWLClauseDatabase method) get_expected_utility() (DecisionNetwork method), [1] get_first_watched() (TwoWLClauseDatabase method) get_in_links() (in module aima.nlp) get_location() (WumpusPosition method) get_neg_watched() (TwoWLClauseDatabase method) get_orientation() (WumpusPosition method) get_out_links() (in module aima.nlp) get_polygon_obstacles_coordinates() (ContinuousWorldView method) get_pos_watched() (TwoWLClauseDatabase method) get_preconditions_for() (GraphPlan method) get_second_watched() (TwoWLClauseDatabase method) get_states_from_transitions() (MDP method) get_unvisited_cities() (TravelingSalesman method) get_utility() (DecisionNetwork method), [1]

get_world() (GraphicEnvironment method) (WumpusEnvironment method) gibbs_ask() (in module aima.probability) Glitter (class in aima.agents) glucose() (in module aima.logic) go() (GridMDP method) go_to_sfo() (in module aima.planning) goal_test() (ACSearchSolver method) (BackwardPlan method) (CSP method) (EightPuzzle method) (ForwardPlan method) (GraphPlan method) (in module aima.planning) (InstrumentedProblem method) (NPuzzle method) (NQueensProblem method) (OnlineSearchProblem method) (PermutationDecoderProblem method) (PlanningProblem method) (PlanRoute method) (PourProblem method) (Problem method) (TravelingSalesman method) Gold (class in aima.agents) Gomoku (class in aima.games) grade_learner() (in module aima.learning) gradient_edge_detector() (in module aima.perception) Grammar (class in aima.nlp) Graph (class in aima.perception) (class in aima.planning) (class in aima.search) GraphicEnvironment (class in aima.agents) GraphPlan (class in aima.planning) GraphProblem (class in aima.search) GraphProblemStochastic (class in aima.search) greedy_best_first_graph_search() (in module aima.search) greedy_best_first_tree_search() (in module aima.search) grid_search_steps() (in module aima.notebook_utils) GridMDP (class in aima.mdp) GridProblem (class in aima.search) GridWorldView (class in aima.ipyviews) group_contour_detection() (in module aima.perception) guess_value() (in module aima.knowledge)

H

h() (BackwardPlan method) (EightPuzzle method) (ForwardPlan method) (GraphProblem method) (GridProblem method) (NPuzzle method) (NQueensProblem method) (OnlineSearchProblem method) (PlanRoute method) (TextParsingProblem method) (TravelingSalesman method) hamming_distance() (in module aima.utils) hamming_distance_heuristic() (NPuzzle method) handle_add_obstacle() (ContinuousWorldView method) handle_click() (GridWorldView method) handle_remove_obstacle() (ContinuousWorldView method) has_arrow (Explorer attribute)

has_consumable_resource() (HLA method) has_usable_resource() (HLA method) hashabledict (class in aima.utils) have_arrow() (in module aima.logic) have_cake_and_eat_cake_too() (in module aima.planning) have_cake_and_eat_cake_too_graph_plan() (in module aima.planning) heatmap() (in module aima.notebook_utils) HiddenMarkovModel (class in aima.probability) hierarchical_search() (RealWorldPlanningProblem method) hill_climbing() (in module aima.search) histogram() (in module aima.utils) HITS() (in module aima.nlp) HLA (class in aima.planning) hog() (in module aima.perception) holding (Explorer attribute) holds() (Constraint method) HybridWumpusAgent (class in aima.logic)

I

identity() (in module aima.utils) image_to_graph() (in module aima.perception) implies() (in module aima.logic) in_danger() (WumpusEnvironment method) in_free_space() (ContinuousMCLmap method) index_collection() (IRSystem method) index_document() (IRSystem method) infer_assignment() (CSP method) information_content() (in module aima.learning) InformationGatheringAgent (class in aima.making_simple_decisions) (class in aima.probability) init_distance_matrix() (TravelingSalesman method) init_examples() (in module aima.deep_learning) (in module aima.learning) init_pages() (in module aima.nlp) init_population() (in module aima.search) init_world() (WumpusEnvironment method) initial (Fig52Game attribute) injection (class in aima.utils) inorder() (HLA method) InputLayer (class in aima.deep_learning) inspect_literal() (in module aima.logic) InstrumentedProblem (class in aima.search) insurance() (in module aima.probability) integrate_percept() (InformationGatheringAgent method), [1] intersects_goal() (RealWorldPlanningProblem method) IRSystem (class in aima.text)

is_a_threat() (PartialOrderPlanner method) is_alive() (Thing method) is_consistent() (in module aima.knowledge) is_constraint() (in module aima.csp) is_definite_clause() (in module aima.logic) is_done() (Environment method) (WumpusEnvironment method) is_hidden() (in module aima.probability) is_in() (in module aima.utils) is_in_core() (in module aima.game_theory) is_inbounds() (XYEnvironment method) is_independent() (in module aima.probability) is_legal_move() (Backgammon method) is_point_open() (Backgammon method) is_primitive() (RealWorldPlanningProblem method) is_prop_symbol() (in module aima.logic) is_strips() (PlanningProblem method) is_symbol() (in module aima.logic) is_var_symbol() (in module aima.logic) is_variable() (in module aima.logic) is_word_constraint() (in module aima.csp) isa() (Grammar method) (ProbGrammar method) isnumber() (in module aima.utils) issequence() (in module aima.utils) iterated_dominance() (in module aima.game_theory) iterative_deepening_astar_search() (in module aima.search) iterative_deepening_search() (in module aima.search)

J

job_shop_problem() (in module aima.planning) JointProbDist (class in aima.probability)

jw() (in module aima.logic) jw2() (in module aima.logic)

K

k_in_row() (TicTacToe method) Kakuro (class in aima.csp) kalman_filter() (in module aima.probability) KalmanFilter (class in aima.probability)

KB (class in aima.logic) KBAgentProgram() (in module aima.logic) keras_dataset_loader() (in module aima.deep_learning) killed_by (Explorer attribute)

L

L (Direction attribute) laplacian_edge_detector() (in module aima.perception) Layer (class in aima.deep_learning) lcv() (in module aima.csp) leaky_relu() (in module aima.utils) leaky_relu_derivative() (in module aima.utils) LeakyReLU (class in aima.deep_learning) learning_curve() (in module aima.learning) leave_one_out() (in module aima.learning) Level (class in aima.planning) Lexicon() (in module aima.nlp) likelihood_weighting() (in module aima.probability) line() (Canvas method) line_n() (Canvas method) Linear (class in aima.deep_learning) linear_kernel() (in module aima.utils)

Linearize (class in aima.planning) linearize() (in module aima.planning) LinearLearner() (in module aima.learning) list_things_at() (Environment method) load_MINST() (in module aima.perception) load_MNIST() (in module aima.notebook_utils) load_page_html() (in module aima.nlp) local_beam_search() (in module aima.search) location() (in module aima.logic) logistic_probability() (in module aima.probability) LogisticLinearLeaner() (in module aima.learning) logistics_problem() (in module aima.planning) lookup() (Wordlist method) LRTA_cost() (LRTAStarAgent method) LRTAStarAgent (class in aima.search) luby() (in module aima.logic)

M

mac() (in module aima.csp) Majority() (in module aima.learning) make_action_sentence() (WumpusKB method) make_arc_consistent() (in module aima.csp) make_factor() (in module aima.probability) make_percept_sentence() (WumpusKB method) make_plot_grid_step_function() (in module aima.notebook_utils) make_set() (DisjointSets method) make_table() (Canvas_fol_bc_ask method) make_undirected() (Graph method) make_visualize() (in module aima.notebook_utils) maketrans() (in module aima.text) making_progress() (RealWorldPlanningProblem method) manhattan_distance() (in module aima.utils) map_to_render() (GridWorldView method) map_vector() (in module aima.utils) MapColoringCSP() (in module aima.csp) MapColoringSAT() (in module aima.logic) markov_blanket_sample() (in module aima.probability) matmul() (Matrix static method) Matrix (class in aima.mdp) matrix_multiplication() (in module aima.utils) max_difference() (POMDP method) MaxPoolingLayer1D (class in aima.deep_learning) MCLmap (class in aima.probability) MCT_Node (class in aima.utils) mcts_player() (in module aima.games) MDP (class in aima.mdp) MDP2 (class in aima.mdp) mean_boolean_error() (in module aima.utils) mean_error() (in module aima.utils) mean_squared_error_loss() (in module aima.utils) meet_at_constraint() (in module aima.csp) memoize() (in module aima.utils) min_clauses() (in module aima.logic) min_conflicts() (in module aima.csp) min_conflicts_value() (in module aima.csp) min_cut() (Graph method) min_max() (Canvas_min_max method) minimal_consistent_det() (in module aima.knowledge) minmax_decision() (in module aima.games) minmax_player() (in module aima.games) mode() (in module aima.utils) ModelBasedReflexAgentProgram() (in module aima.agents) ModelBasedVacuumAgent() (in module aima.agents) module aima.agents aima.csp aima.deep_learning aima.game_theory aima.games aima.ipyviews aima.knowledge aima.learning aima.logic aima.making_simple_decisions aima.mdp aima.nlp aima.notebook_utils aima.perception aima.planning aima.probabilistic_learning aima.probability aima.reinforcement_learning aima.search aima.text aima.utils

moms() (in module aima.logic) momsf() (in module aima.logic) monte_carlo_localization() (in module aima.probability) monte_carlo_tree_search() (in module aima.games) mouse_click() (Canvas method) (Canvas_alpha_beta method) (Canvas_fol_bc_ask method) (Canvas_min_max method) (Canvas_TicTacToe method) mouse_move() (Canvas method) move_checker() (Backgammon method) move_forward() (Direction method) (in module aima.logic) move_not_inwards() (in module aima.logic) move_to() (XYEnvironment method) moves (GameState attribute) (StochasticGameState attribute) mrv() (in module aima.csp) ms_error() (in module aima.utils) MultiClassLearner (class in aima.learning) multimap() (in module aima.utils) multimap_items() (in module aima.utils) multiply() (Matrix static method) mutate() (in module aima.search) mutate_boggle() (in module aima.search)

N

naive_bayes_em() (in module aima.learning) NaiveBayesContinuous() (in module aima.probabilistic_learning) NaiveBayesDiscrete() (in module aima.probabilistic_learning) NaiveBayesLearner() (in module aima.probabilistic_learning) NaiveBayesSimple() (in module aima.probabilistic_learning) name() (in module aima.utils) NaryCSP (class in aima.csp) nconflicts() (CSP method) (NQueensCSP method) ne_constraint() (in module aima.csp) NearestNeighborLearner() (in module aima.learning) neighbors (Sudoku attribute) network() (in module aima.learning) NeuralNetLearner() (in module aima.learning) NeuralNetworkLearner (class in aima.deep_learning) new_clause() (FOILContainer method) new_disjunction() (in module aima.logic) new_literals() (FOILContainer method) new_to_do() (ACSolver method) NgramCharModel (class in aima.text)

NgramWordModel (class in aima.text) NNUnit (class in aima.learning) no_arc_heuristic() (in module aima.csp) no_branching_heuristic() (in module aima.logic) no_heuristic() (in module aima.csp) no_inference() (in module aima.csp) no_restart() (in module aima.logic) Node (class in aima.deep_learning) (class in aima.search) nodes() (Graph method) non_mutex_goals() (Graph method) normalize() (Factor method) (in module aima.nlp) (in module aima.utils) (ProbDist method) NPuzzle (class in aima.search) NQueensCSP (class in aima.csp) NQueensProblem (class in aima.search) num_legal_values() (in module aima.csp) num_or_str() (in module aima.utils)

O

object_name() (ContinuousWorldView method) (GridWorldView method) Obstacle (class in aima.agents) occur_check() (in module aima.logic) ok_to_move() (in module aima.logic) OnlineDFSAgent (class in aima.search) OnlineSearchProblem (class in aima.search)

only_wikipedia_urls() (in module aima.nlp) open_data() (in module aima.utils) orderlevel() (Linearize method) outcome() (Backgammon method) (StochasticGame method) output() (OnlineSearchProblem method) OutputLayer (class in aima.deep_learning)

P

p() (BayesNode method) (DiscreteBayesNode method) (Factor method) Page (class in aima.nlp) Parity() (in module aima.learning) parse() (Chart method) parse_clauses_from_dimacs() (in module aima.logic) parse_csv() (in module aima.learning) parse_definite_clause() (in module aima.logic) parse_neighbors() (in module aima.csp) parses() (Chart method) PartialExpr (class in aima.utils) PartialOrderPlanner (class in aima.planning) particle_filtering() (in module aima.probability) partition() (in module aima.csp) partition_domain() (in module aima.csp) passable() (GridProblem method) PassiveADPAgent (class in aima.reinforcement_learning) PassiveADPAgent.ModelMDP (class in aima.reinforcement_learning) PassiveDUEAgent (class in aima.reinforcement_learning) PassiveTDAgent (class in aima.reinforcement_learning) path() (Node method) path_cost() (GraphProblem method) (GraphProblemStochastic method) (GridProblem method) (InstrumentedProblem method) (Problem method) (TravelingSalesman method) path_states() (Node method) PeakFindingProblem (class in aima.search) percept() (Environment method) (TrivialVacuumEnvironment method) (VacuumEnvironment method) (WumpusEnvironment method) (XYEnvironment method) percept_breeze() (in module aima.logic) percept_bump() (in module aima.logic) percept_glitter() (in module aima.logic) percept_scream() (in module aima.logic) percept_stench() (in module aima.logic) perceptible_distance (XYEnvironment attribute) PerceptronLearner (class in aima.deep_learning) PerceptronLearner() (in module aima.learning) percepts_from() (WumpusEnvironment method) perform_actions() (Level method) PermutationDecoder (class in aima.text) PermutationDecoderProblem (class in aima.text) Pit (class in aima.agents) pit() (in module aima.logic) pit_probability (WumpusEnvironment attribute) pl_binary_resolution() (in module aima.logic) pl_fc_entails() (in module aima.logic) pl_resolution() (in module aima.logic) pl_resolve() (in module aima.logic) pl_true() (in module aima.logic) plan_route() (HybridWumpusAgent method) plan_shot() (HybridWumpusAgent method) PlanningProblem (class in aima.planning) PlanRoute (class in aima.search)

play_game() (Game method) (StochasticGame method) plot_grid_search() (in module aima.notebook_utils) plot_model_boundary() (in module aima.notebook_utils) plot_NQueens() (in module aima.notebook_utils) plot_pomdp_utility() (in module aima.notebook_utils) plurality_winner() (in module aima.game_theory) PluralityLearner() (in module aima.learning) pointwise_product() (Factor method) (in module aima.probability) policy_evaluation() (in module aima.mdp) policy_iteration() (in module aima.mdp) PolygonObstacle (class in aima.agents) polynomial_kernel() (in module aima.utils) POMDP (class in aima.mdp) pomdp_lookahead() (in module aima.mdp) pomdp_value_iteration() (in module aima.mdp) pool_roi() (in module aima.perception) pool_rois() (in module aima.perception) pop() (PriorityQueue method) populate_prop_mutexes() (Level method) posit() (in module aima.logic) PourProblem (class in aima.search) power_set() (in module aima.utils) predicate_negate() (in module aima.planning) predicate_symbols() (in module aima.logic) predict() (KalmanFilter method) (MultiClassLearner method) (NeuralNetworkLearner method) (PerceptronLearner method) (SVC method) (SVR method) predict_score() (SVC method) predictor() (Chart method) present() (IRSystem method) present_results() (IRSystem method) print_boggle() (in module aima.search) print_table() (in module aima.utils) prior_sample() (in module aima.probability) PriorityQueue (class in aima.utils) probability() (Backgammon method) (in module aima.utils) (StochasticGame method) probability_contour_detection() (in module aima.perception) ProbDist (class in aima.probability) ProbGrammar (class in aima.nlp) Problem (class in aima.search) ProbLexicon() (in module aima.nlp) ProbRules() (in module aima.nlp) product() (in module aima.utils) prop_symbols() (in module aima.logic) PropDefiniteKB (class in aima.logic) PropKB (class in aima.logic) protect() (PartialOrderPlanner method) prune() (CSP method) prune_invalid_actions() (Level method) pseudocode() (in module aima.notebook_utils) psource() (in module aima.notebook_utils) pure_nash_equilibria() (in module aima.game_theory)

Q

q_value() (in module aima.mdp) QLearningAgent (class in aima.reinforcement_learning)

queen_constraint() (in module aima.csp) query() (IRSystem method) query_player() (in module aima.games)

R

R (Direction attribute) R() (MDP method) r2_score() (in module aima.learning) R3 (Sudoku attribute) random_boggle() (in module aima.search) random_location_inbounds() (XYEnvironment method) random_player() (in module aima.games) random_restart_hill_climbing() (in module aima.search) random_weights() (in module aima.utils) RandomAgentProgram() (in module aima.agents) RandomForest() (in module aima.learning) RandomGraph() (in module aima.search) RandomVacuumAgent() (in module aima.agents) ray_cast() (ContinuousMCLmap method) (MCLmap method) rbf_kernel() (in module aima.utils) reach_opt() (RealWorldPlanningProblem method) reach_pes() (RealWorldPlanningProblem method) read_bif() (in module aima.probability) RealWorldPlanningProblem (class in aima.planning) recombine() (in module aima.search) recombine_uniform() (in module aima.search) record_conflict() (NQueensCSP method) rect() (Canvas method) rect_n() (Canvas method) recursive_best_first_search() (in module aima.search) refinements() (RealWorldPlanningProblem method) ReflexVacuumAgent() (in module aima.agents) rejection_sampling() (in module aima.probability) relaxed() (Action method) relevant_pages() (in module aima.nlp) ReLU (class in aima.deep_learning) relu() (in module aima.utils) relu_derivative() (in module aima.utils) remove() (TwoWLClauseDatabase method) remove_all() (in module aima.utils) remove_dominated_plans() (POMDP method) remove_dominated_plans_fast() (POMDP method) remove_examples() (DataSet method) replicated_dataset() (in module aima.learning) request() (InformationGatheringAgent method), [1] RestaurantDataSet() (in module aima.learning) restore() (CSP method)

result() (ACSearchSolver method) (Backgammon method) (BackwardPlan method) (CSP method) (EightPuzzle method) (Fig52Extended method) (Fig52Game method) (ForwardPlan method) (Game method) (GraphProblem method) (GraphProblemStochastic method) (GridProblem method) (InstrumentedProblem method) (NPuzzle method) (NQueensProblem method) (PeakFindingProblem method) (PermutationDecoderProblem method) (PlanRoute method) (PourProblem method) (Problem method) (RealWorldPlanningProblem method) (TextParsingProblem method) (TicTacToe method) (TravelingSalesman method) retract() (FolKB method) (KB method) (PropDefiniteKB method) (PropKB method) reveal() (GraphicEnvironment method) revise() (in module aima.csp) rewrites_for() (Grammar method) (ProbGrammar method) rms_error() (in module aima.utils) rot13() (in module aima.text) rounder() (in module aima.utils) rows (Sudoku attribute) rule_match() (in module aima.agents) Rules() (in module aima.nlp) run() (Environment method) (GraphicEnvironment method) run_single_trial() (in module aima.reinforcement_learning) rush_hour() (in module aima.planning) rush_hour_optimized() (in module aima.planning)

S

sample() (BayesNode method) (ContinuousMCLmap method) (CountingProbDist method) (MCLmap method) samples() (NgramWordModel method) (UnigramWordModel method) sanitize() (DataSet method) SARSALearningAgent (class in aima.reinforcement_learning) SAT_plan() (in module aima.logic) sat_up() (in module aima.csp) SATPlan() (in module aima.planning) scalar_multiply() (Matrix static method) scalar_vector_product() (in module aima.deep_learning) (in module aima.utils) scanner() (Chart method) score() (BoggleFinder method) (IRSystem method) (PermutationDecoder method) (ShiftDecoder method) scores (BoggleFinder attribute) Scream (class in aima.agents) screamed (Wumpus attribute) search() (SimpleProblemSolvingAgentProgram method) select() (in module aima.search) selective_search() (in module aima.perception) sensor_dist() (HiddenMarkovModel method) separate() (Level method) sequence() (in module aima.utils) set_board() (BoggleFinder method) set_first_watched() (TwoWLClauseDatabase method) set_label() (GridWorldView method) set_location() (WumpusPosition method) set_orientation() (WumpusPosition method) set_problem() (DataSet method) set_representation() (GridWorldView method) set_second_watched() (TwoWLClauseDatabase method) shapley_value() (in module aima.game_theory) shift_encode() (in module aima.text) ShiftDecoder (class in aima.text) shoot() (in module aima.logic) shopping_graph_plan() (in module aima.planning) shopping_problem() (in module aima.planning) show() (ContinuousWorldView method) (GridWorldView method) show_approx() (ProbDist method) show_ave_MNIST() (in module aima.notebook_utils) show_edges() (in module aima.perception) show_iris() (in module aima.notebook_utils) show_map() (in module aima.notebook_utils) show_MNIST() (in module aima.notebook_utils) show_state() (Thing method) shuffle_state() (NPuzzle method) shuffled() (in module aima.utils) Sigmoid (class in aima.deep_learning) sigmoid() (in module aima.utils) sigmoid_derivative() (in module aima.utils)

simp() (in module aima.logic) simple_blocks_world() (in module aima.planning) simple_blocks_world_graph_plan() (in module aima.planning) simple_convnet() (in module aima.perception) SimpleProblemSolvingAgentProgram (class in aima.search) SimpleReflexAgentProgram() (in module aima.agents) SimpleRNNLearner() (in module aima.deep_learning) simulated_annealing() (in module aima.search) simulated_annealing_full() (in module aima.search) smooth_for() (CountingProbDist method) socks_and_shoes() (in module aima.planning) socks_and_shoes_graph_plan() (in module aima.planning) SoftMax (class in aima.deep_learning) SoftPlus (class in aima.deep_learning) solution() (Node method) solve_qp() (SVC method) (SVR method) solve_zebra() (in module aima.csp) solve_zero_sum_game() (in module aima.game_theory) some_things_at() (Environment method) spare_tire() (in module aima.planning) spare_tire_graph_plan() (in module aima.planning) specializations() (in module aima.knowledge) split_values_by_classes() (DataSet method) stack_manager_gen() (Canvas_alpha_beta method) (Canvas_min_max method) standardize_variables() (in module aima.logic) Stench (class in aima.agents) stench() (in module aima.logic) step() (Environment method) (in module aima.utils) stochastic_gradient_descent() (in module aima.deep_learning) stochastic_hill_climbing() (in module aima.search) StochasticGame (class in aima.games) StochasticGameState (class in aima.games) strip_raw_html() (in module aima.nlp) stroke() (Canvas method) strokeWidth() (Canvas method) subexpressions() (in module aima.utils) subspan() (in module aima.nlp) subst() (in module aima.logic) substitute() (Action method) succs (Fig52Extended attribute) (Fig52Game attribute) Sudoku (class in aima.csp) sum_constraint() (in module aima.csp) sum_out() (Factor method) (in module aima.probability) sum_squared_difference() (in module aima.perception) support_pruning() (CSP method) suppose() (CSP method) SVC (class in aima.learning) SVR (class in aima.learning) Symbol() (in module aima.utils) symbols() (in module aima.utils) SyntheticRestaurant() (in module aima.learning)

T

T() (GridMDP method) (in module aima.learning) (MDP method) (MDP2 method) (PassiveADPAgent.ModelMDP method) TableDrivenAgentProgram() (in module aima.agents) TableDrivenVacuumAgent() (in module aima.agents) Tanh (class in aima.deep_learning) tanh() (in module aima.utils) tanh_derivative() (in module aima.utils) tell() (FOILContainer method) (FolKB method) (KB method) (PropDefiniteKB method) (PropKB method) term_reduction() (in module aima.logic) terminal_test() (Backgammon method) (Fig52Extended method) (Fig52Game method) (Game method) (TicTacToe method) test_agent() (in module aima.agents) text() (Canvas method) text_n() (Canvas method) TextParsingProblem (class in aima.nlp) Thing (class in aima.agents) thing_classes() (Environment method) (TrivialVacuumEnvironment method) (VacuumEnvironment method) things_near() (XYEnvironment method) three_block_tower() (in module aima.planning) three_block_tower_graph_plan() (in module aima.planning)

TicTacToe (class in aima.games) to_arrows() (GridMDP method) to_cnf() (in module aima.logic) to_grid() (GridMDP method) to_move (GameState attribute) (StochasticGameState attribute) to_move() (Fig52Extended method) (Fig52Game method) (Game method) top() (CountingProbDist method) topological_sort() (in module aima.csp) toposort() (PartialOrderPlanner method) total_score() (IRSystem method) TraceAgent() (in module aima.agents) train_model() (in module aima.perception) train_test_split() (in module aima.learning) translate() (in module aima.text) transpose() (Matrix static method) TravelingSalesman (class in aima.search) Tree (class in aima.nlp) tree_csp_solver() (in module aima.csp) TrivialVacuumEnvironment (class in aima.agents) tsp_kruskal() (TravelingSalesman method) tt_check_all() (in module aima.logic) tt_entails() (in module aima.logic) tt_true() (in module aima.logic) turn_heading() (in module aima.utils) (XYEnvironment method) turn_left() (in module aima.logic) (in module aima.utils) turn_right() (in module aima.logic) (in module aima.utils) TwoWLClauseDatabase (class in aima.logic)

U

U (Direction attribute) ucb() (in module aima.utils) unassign() (CSP method) (NQueensCSP method) UndirectedGraph() (in module aima.search) uniform_cost_search() (in module aima.search) uniform_cost_tree_search() (in module aima.search) unify() (in module aima.logic) unify_mm() (in module aima.logic) unify_var() (in module aima.logic) UnigramCharModel (class in aima.text) UnigramWordModel (class in aima.text) union() (DisjointSets method) unique() (in module aima.utils) unique_group (HLA attribute) unit_clause_assign() (in module aima.logic) unit_propagation() (in module aima.logic) UniversalDict (class in aima.csp) UnixConsultant (class in aima.text) unordered_domain_values() (in module aima.csp) unroll() (DynamicBayesNet method) update() (Canvas method) (GraphicEnvironment method) (KalmanFilter method)

update_belief() (in module aima.mdp) update_examples() (FOILContainer method) update_first_watched() (TwoWLClauseDatabase method) update_second_watched() (TwoWLClauseDatabase method) update_state() (OnlineDFSAgent method) (OnlineSearchProblem method) (PassiveADPAgent method) (PassiveDUEAgent method) (PassiveTDAgent method) (QLearningAgent method) (SimpleProblemSolvingAgentProgram method) update_values() (DataSet method) utility (GameState attribute) (StochasticGameState attribute) utility() (Backgammon method) (Fig52Extended method) (Fig52Game method) (Game method) (TicTacToe method) utils (Fig52Extended attribute) (Fig52Game attribute)

V

vacuum_world (in module aima.search) VacuumEnvironment (class in aima.agents) value() (InstrumentedProblem method) (PeakFindingProblem method) (Problem method) (TravelingSalesman method) value_iteration() (in module aima.mdp) values() (JointProbDist method) values_table() (in module aima.knowledge) variable_node() (BayesNet method) (DiscreteBayesNet method) variable_values() (BayesNet method) (DiscreteBayesNet method)

variables() (in module aima.logic) vars_elimination() (in module aima.logic) vector_add() (in module aima.deep_learning) (in module aima.utils) version_space_learning() (in module aima.knowledge) version_space_update() (in module aima.knowledge) vickrey_auction() (in module aima.game_theory) viterbi() (in module aima.probability) viterbi_segment() (in module aima.text) vpi() (InformationGatheringAgent method), [1] vpi_cost_ratio() (InformationGatheringAgent method), [1]

W

WalkSAT() (in module aima.logic) Wall (class in aima.agents) weighted_choice() (in module aima.utils) weighted_majority() (in module aima.learning) weighted_mode() (in module aima.learning) weighted_replicate() (in module aima.learning) weighted_sample() (in module aima.probability) weighted_sample_with_replacement() (in module aima.utils) weighted_sampler() (in module aima.utils) WeightedLearner() (in module aima.learning)

wordlist (BoggleFinder attribute) Wordlist (class in aima.search) words() (BoggleFinder method) (in module aima.text) Wumpus (class in aima.agents) wumpus() (in module aima.logic) wumpus_alive() (in module aima.logic) wumpus_world_inference (in module aima.logic) WumpusEnvironment (class in aima.agents) WumpusKB (class in aima.logic) WumpusPosition (class in aima.logic)

X

Xor() (in module aima.learning)

XYEnvironment (class in aima.agents)

Z

Zebra() (in module aima.csp)

zm() (in module aima.logic)