Uses of Class
net.sf.tweety.logics.pcl.semantics.ProbabilityDistribution

Packages that use ProbabilityDistribution

Package	Description
net.sf.tweety.logics.pcl.reasoner
net.sf.tweety.logics.pcl.semantics

Uses of ProbabilityDistribution in net.sf.tweety.logics.pcl.reasoner

Methods in net.sf.tweety.logics.pcl.reasoner that return ProbabilityDistribution

Modifier and Type	Method and Description
abstract ProbabilityDistribution<net.sf.tweety.logics.pl.semantics.PossibleWorld>	AbstractPclReasoner.getModel(PclBeliefSet beliefbase)
ProbabilityDistribution<net.sf.tweety.logics.pl.semantics.PossibleWorld>	DefaultMeReasoner.getModel(PclBeliefSet beliefbase)
ProbabilityDistribution<net.sf.tweety.logics.pl.semantics.PossibleWorld>	GeneralizedMeReasoner.getModel(PclBeliefSet beliefbase)
ProbabilityDistribution<net.sf.tweety.logics.pl.semantics.PossibleWorld>	DefaultMeReasoner.getModel(PclBeliefSet bs, net.sf.tweety.logics.pl.syntax.PropositionalSignature signature) Computes the ME-distribution this reasoner bases on.
ProbabilityDistribution<net.sf.tweety.logics.pl.semantics.PossibleWorld>	GeneralizedMeReasoner.getModel(PclBeliefSet bs, net.sf.tweety.logics.pl.syntax.PropositionalSignature signature) Computes the ME-distribution this reasoner bases on.

Methods in net.sf.tweety.logics.pcl.reasoner that return types with arguments of type ProbabilityDistribution

Modifier and Type	Method and Description
abstract Collection<ProbabilityDistribution<net.sf.tweety.logics.pl.semantics.PossibleWorld>>	AbstractPclReasoner.getModels(PclBeliefSet bbase)
Collection<ProbabilityDistribution<net.sf.tweety.logics.pl.semantics.PossibleWorld>>	DefaultMeReasoner.getModels(PclBeliefSet bbase)
Collection<ProbabilityDistribution<net.sf.tweety.logics.pl.semantics.PossibleWorld>>	GeneralizedMeReasoner.getModels(PclBeliefSet bbase)

Uses of ProbabilityDistribution in net.sf.tweety.logics.pcl.semantics

Methods in net.sf.tweety.logics.pcl.semantics that return ProbabilityDistribution

Modifier and Type	Method and Description
static <S extends net.sf.tweety.commons.Interpretation<net.sf.tweety.logics.pl.syntax.PlBeliefSet,net.sf.tweety.logics.pl.syntax.PropositionalFormula>> ProbabilityDistribution<S>	ProbabilityDistribution.convexCombination(double[] factors, ProbabilityDistribution<S>[] creators) Computes the convex combination of the given probability distributions P1,...,PN with parameters factors, i.e.
ProbabilityDistribution<T>	ProbabilityDistribution.convexCombination(double d, ProbabilityDistribution<T> other) Computes the convex combination of this P1 and the given probability distribution P2 with parameter d, i.e.
static <S extends net.sf.tweety.commons.Interpretation<net.sf.tweety.logics.pl.syntax.PlBeliefSet,net.sf.tweety.logics.pl.syntax.PropositionalFormula>> ProbabilityDistribution<S>	ProbabilityDistribution.getUniformDistribution(Set<S> interpretations, net.sf.tweety.commons.Signature sig) Returns the uniform distribution on the given interpretations.
ProbabilityDistribution<T>	ProbabilityDistribution.linearCombination(double d1, double d2, ProbabilityDistribution<T> other) Makes a linear combination of this distribution "p1" and the given distribution "other" and the given parameters, i.e.

Methods in net.sf.tweety.logics.pcl.semantics with parameters of type ProbabilityDistribution

Modifier and Type	Method and Description
static <S extends net.sf.tweety.commons.Interpretation<net.sf.tweety.logics.pl.syntax.PlBeliefSet,net.sf.tweety.logics.pl.syntax.PropositionalFormula>> ProbabilityDistribution<S>	ProbabilityDistribution.convexCombination(double[] factors, ProbabilityDistribution<S>[] creators) Computes the convex combination of the given probability distributions P1,...,PN with parameters factors, i.e.
ProbabilityDistribution<T>	ProbabilityDistribution.convexCombination(double d, ProbabilityDistribution<T> other) Computes the convex combination of this P1 and the given probability distribution P2 with parameter d, i.e.
ProbabilityDistribution<T>	ProbabilityDistribution.linearCombination(double d1, double d2, ProbabilityDistribution<T> other) Makes a linear combination of this distribution "p1" and the given distribution "other" and the given parameters, i.e.