Uses of Class
org.tweetyproject.math.probability.ProbabilityFunction
Package
Description
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Uses of ProbabilityFunction in org.tweetyproject.agents.dialogues.oppmodels
ModifierConstructorDescriptionT2BeliefState
(Extension<DungTheory> knownArguments, UtilityFunction<Argument, Extension<DungTheory>> utilityFunction, ProbabilityFunction<T2BeliefState> prob) Creates a new T2-belief-state with the given parameters.T3BeliefState
(Extension<DungTheory> knownArguments, UtilityFunction<Argument, Extension<DungTheory>> utilityFunction, Set<Argument> virtualArguments, Set<Attack> virtualAttacks, RecognitionFunction rec, ProbabilityFunction<T3BeliefState> prob) Creates a new T3-belief-state with the given parameters. -
Uses of ProbabilityFunction in org.tweetyproject.arg.prob.lotteries
Modifier and TypeClassDescriptionclass
Represents a probability function on the subgraphs of some Dung theory. -
Uses of ProbabilityFunction in org.tweetyproject.arg.prob.semantics
Modifier and TypeClassDescriptionclass
This class implements a probabilistic interpretation for Dung argumentation frameworks, cf. -
Uses of ProbabilityFunction in org.tweetyproject.logics.petri.syntax.reachability_graph
Modifier and TypeMethodDescriptionReachabilityGraph.getProbabilityFunction()
the probability function of this graph, which is null for defaultModifier and TypeMethodDescriptionvoid
ReachabilityGraph.setProbabilityFunction
(ProbabilityFunction<MarkingEdge> probabilityFunction) sets the probability function of this graph -
Uses of ProbabilityFunction in org.tweetyproject.logics.pl.util
Modifier and TypeMethodDescriptionSyntacticRandomSampler.sampleFormula
(ProbabilityFunction<Byte> prob) Samples a single formula. -
Uses of ProbabilityFunction in org.tweetyproject.math.norm
Modifier and TypeMethodDescriptiondouble
EntropyNorm.distance
(ProbabilityFunction<T> prob1, ProbabilityFunction<T> prob2) distance between problemsdouble
EntropyNorm.norm
(ProbabilityFunction<T> prob) norm -
Uses of ProbabilityFunction in org.tweetyproject.math.probability
Modifier and TypeMethodDescriptionstatic <S extends 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.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 Comparable<S>>
ProbabilityFunction<S> ProbabilityFunction.getUniformDistribution
(Set<S> objects) Returns the uniform distribution on the given interpretations.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.Modifier and TypeMethodDescriptionstatic <S extends 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.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.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.ModifierConstructorDescriptionProbabilityFunction
(ProbabilityFunction<T> other) Creates a new probability function by copying the given one.