Uses of Class net.sf.tweety.math.probability.ProbabilityFunction

Packages that use ProbabilityFunction
Package	Description
net.sf.tweety.agents.dialogues.oppmodels
net.sf.tweety.arg.prob.lotteries
net.sf.tweety.arg.prob.semantics
net.sf.tweety.logics.pl.util
net.sf.tweety.math.norm
net.sf.tweety.math.probability

Uses of ProbabilityFunction in net.sf.tweety.agents.dialogues.oppmodels

Constructors in net.sf.tweety.agents.dialogues.oppmodels with parameters of type ProbabilityFunction
Constructor	Description
`T2BeliefState(Extension knownArguments, UtilityFunction<Argument,Extension> utilityFunction, ProbabilityFunction<T2BeliefState> prob)`	Creates a new T2-belief-state with the given parameters.
`T3BeliefState(Extension knownArguments, UtilityFunction<Argument,Extension> utilityFunction, java.util.Set<Argument> virtualArguments, java.util.Set<Attack> virtualAttacks, RecognitionFunction rec, ProbabilityFunction<T3BeliefState> prob)`	Creates a new T3-belief-state with the given parameters.

Uses of ProbabilityFunction in net.sf.tweety.arg.prob.lotteries

Subclasses of ProbabilityFunction in net.sf.tweety.arg.prob.lotteries
Modifier and Type	Class	Description
`class`	`SubgraphProbabilityFunction`	Represents a probability function on the subgraphs of some Dung theory.

Uses of ProbabilityFunction in net.sf.tweety.arg.prob.semantics

Subclasses of ProbabilityFunction in net.sf.tweety.arg.prob.semantics
Modifier and Type	Class	Description
`class`	`ProbabilisticExtension`	This class implements a probabilistic interpretation for Dung argumentation frameworks, cf.

Uses of ProbabilityFunction in net.sf.tweety.logics.pl.util

Methods in net.sf.tweety.logics.pl.util with parameters of type ProbabilityFunction
Modifier and Type	Method	Description
`PlFormula`	SyntacticRandomSampler.`sampleFormula(ProbabilityFunction<java.lang.Byte> prob)`	Samples a single formula.

Uses of ProbabilityFunction in net.sf.tweety.math.norm

Methods in net.sf.tweety.math.norm with parameters of type ProbabilityFunction
Modifier and Type	Method	Description
`double`	EntropyNorm.`distance(ProbabilityFunction<T> prob1, ProbabilityFunction<T> prob2)`
`double`	EntropyNorm.`norm(ProbabilityFunction<T> prob)`

Uses of ProbabilityFunction in net.sf.tweety.math.probability

Methods in net.sf.tweety.math.probability that return ProbabilityFunction
Modifier and Type	Method	Description
`static <S extends java.lang.Comparable<S>> ProbabilityFunction<S>`	ProbabilityFunction.`convexCombination(double[] factors, ProbabilityFunction<S>[] creators)`	Computes the convex combination of the given probability distributions P1,...,PN with parameters factors, i.e.
`ProbabilityFunction<T>`	ProbabilityFunction.`convexCombination(double d, ProbabilityFunction<T> other)`	Computes the convex combination of this P1 and the given probability distribution P2 with parameter d, i.e.
`static <S extends java.lang.Comparable<S>> ProbabilityFunction<S>`	ProbabilityFunction.`getUniformDistribution(java.util.Set<S> objects)`	Returns the uniform distribution on the given interpretations.
`ProbabilityFunction<T>`	ProbabilityFunction.`linearCombination(double d1, double d2, ProbabilityFunction<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.math.probability with parameters of type ProbabilityFunction
Modifier and Type	Method	Description
`static <S extends java.lang.Comparable<S>> ProbabilityFunction<S>`	ProbabilityFunction.`convexCombination(double[] factors, ProbabilityFunction<S>[] creators)`	Computes the convex combination of the given probability distributions P1,...,PN with parameters factors, i.e.
`ProbabilityFunction<T>`	ProbabilityFunction.`convexCombination(double d, ProbabilityFunction<T> other)`	Computes the convex combination of this P1 and the given probability distribution P2 with parameter d, i.e.
`ProbabilityFunction<T>`	ProbabilityFunction.`linearCombination(double d1, double d2, ProbabilityFunction<T> other)`	Makes a linear combination of this distribution "p1" and the given distribution "other" and the given parameters, i.e.

Constructors in net.sf.tweety.math.probability with parameters of type ProbabilityFunction
Constructor	Description
`ProbabilityFunction(ProbabilityFunction<T> other)`	Creates a new probability function by copying the given one.