aima.core.probability

Interface ProbabilityDistribution

All Known Subinterfaces:

CategoricalDistribution, ProbabilityDensity, ProbabilityMass

All Known Implementing Classes:

ProbabilityTable

public interface ProbabilityDistribution

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. 487, which in this API corresponds to a CategoricalDistribution.

Author:

Ciaran O'Reilly

See Also:

Probability Distribution

Method Summary

Modifier and Type	Method and Description
boolean	contains(RandomVariable rv)
java.util.Set<RandomVariable>	getFor()
double	getValue(AssignmentProposition... eventValues) 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).
double	getValue(java.lang.Object... eventValues) 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).

Method Detail

getFor

java.util.Set<RandomVariable> getFor()

Returns:

a consistent ordered Set (e.g. LinkedHashSet) of the random variables this probability distribution is for.

contains

boolean contains(RandomVariable rv)

Parameters:

rv - the Random Variable to be checked.

Returns:

true if this Distribution is for the passed in Random Variable, false otherwise.

getValue

double getValue(java.lang.Object... eventValues)

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).

Parameters:

eventValues - the values for the random variables comprising the Distribution

Returns:

the value for the possible worlds associated with the assignments for the random variables comprising the Distribution.

getValue

double getValue(AssignmentProposition... eventValues)

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).

Parameters:

eventValues - the assignment propositions for the random variables comprising the Distribution

Returns:

the value for the possible worlds associated with the assignments for the random variables comprising the Distribution.