Uses of Class
net.sf.tweety.logics.pcl.syntax.PclBeliefSet

Packages that use PclBeliefSet

Package	Description
net.sf.tweety.logics.pcl.analysis
net.sf.tweety.logics.pcl.parser
net.sf.tweety.logics.pcl.reasoner
net.sf.tweety.logics.pcl.semantics
net.sf.tweety.logics.pcl.util

Uses of PclBeliefSet in net.sf.tweety.logics.pcl.analysis

Methods in net.sf.tweety.logics.pcl.analysis that return PclBeliefSet

Modifier and Type	Method and Description
protected PclBeliefSet	AbstractCreepingMachineShop.characteristicFunction(PclBeliefSet beliefSet, Map<ProbabilisticConditional,net.sf.tweety.math.probability.Probability> values) Returns a modified belief base that replaces each conditionals probability by the one given by "values".

Methods in net.sf.tweety.logics.pcl.analysis with parameters of type PclBeliefSet

Modifier and Type	Method and Description
protected PclBeliefSet	AbstractCreepingMachineShop.characteristicFunction(PclBeliefSet beliefSet, Map<ProbabilisticConditional,net.sf.tweety.math.probability.Probability> values) Returns a modified belief base that replaces each conditionals probability by the one given by "values".
Double	MeanDistanceCulpabilityMeasure.culpabilityMeasure(PclBeliefSet beliefSet, ProbabilisticConditional conditional)
Double	SignedCulpabilityMeasure.culpabilityMeasure(PclBeliefSet beliefSet, ProbabilisticConditional conditional)
Double	DistanceMinimizationInconsistencyMeasure.getDeviation(PclBeliefSet beliefSet, ProbabilisticConditional pc) Returns the deviation of the given conditional in the nearest consistent belief set.
protected Map<ProbabilisticConditional,net.sf.tweety.math.probability.Probability>	SmoothedPenalizingCreepingMachineShop.getValues(double delta, PclBeliefSet beliefSet)
protected abstract Map<ProbabilisticConditional,net.sf.tweety.math.probability.Probability>	AbstractCreepingMachineShop.getValues(double delta, PclBeliefSet beliefSet) Computes the values of the conditionals for step delta
protected Map<ProbabilisticConditional,net.sf.tweety.math.probability.Probability>	PenalizingCreepingMachineShop.getValues(double delta, PclBeliefSet beliefSet)
protected Map<ProbabilisticConditional,net.sf.tweety.math.probability.Probability>	UnbiasedCreepingMachineShop.getValues(double delta, PclBeliefSet beliefSet)
protected void	SmoothedPenalizingCreepingMachineShop.init(PclBeliefSet beliefSet)
protected void	AbstractCreepingMachineShop.init(PclBeliefSet beliefSet) Performs some optional initializations before beginning to restore consistency.
protected net.sf.tweety.commons.BeliefBase	MinimalViolationEuclideanMachineShopOjAlgoExpression.repair(PclBeliefSet beliefSet) Compute solution using ojalgos matrix representation.
protected net.sf.tweety.commons.BeliefBase	MinimalViolationEuclideanMachineShopOjAlgoMatrix.repair(PclBeliefSet beliefSet) Compute solution using ojalgos matrix representation.
protected abstract net.sf.tweety.commons.BeliefBase	MinimalViolationEuclideanMachineShop.repair(PclBeliefSet beliefSet)
Double	MeanDistanceCulpabilityMeasure.sign(PclBeliefSet beliefSet, ProbabilisticConditional conditional)
Double	SignedCulpabilityMeasure.sign(PclBeliefSet beliefSet, ProbabilisticConditional conditional) Determines the sign of the culpability of the given conditional in the given belief set, i.e.

Constructor parameters in net.sf.tweety.logics.pcl.analysis with type arguments of type PclBeliefSet

Constructor and Description
BalancedMachineShop(net.sf.tweety.logics.commons.analysis.CulpabilityMeasure<ProbabilisticConditional,PclBeliefSet> culpabilityMeasure)
PclBeliefSetQuadraticErrorMinimizationMachineShop(net.sf.tweety.logics.commons.analysis.CulpabilityMeasure<ProbabilisticConditional,PclBeliefSet> culpabilityMeasure) Creates a new machine shop based on the given culpability measure.
SmoothedPenalizingCreepingMachineShop(net.sf.tweety.logics.commons.analysis.CulpabilityMeasure<ProbabilisticConditional,PclBeliefSet> culpabilityMeasure) Creates a new creeping machine shop based on the given culpability measure.

Uses of PclBeliefSet in net.sf.tweety.logics.pcl.parser

Methods in net.sf.tweety.logics.pcl.parser that return PclBeliefSet

Modifier and Type	Method and Description
PclBeliefSet	PclParser.parseBeliefBase(Reader reader)

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

Methods in net.sf.tweety.logics.pcl.reasoner with parameters of type PclBeliefSet

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.
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)
abstract Double	AbstractPclReasoner.query(PclBeliefSet beliefbase, net.sf.tweety.logics.pl.syntax.PropositionalFormula formula)
Double	DefaultMeReasoner.query(PclBeliefSet beliefbase, net.sf.tweety.logics.pl.syntax.PropositionalFormula formula)
Double	GeneralizedMeReasoner.query(PclBeliefSet beliefbase, net.sf.tweety.logics.pl.syntax.PropositionalFormula formula)

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

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

Modifier and Type	Method and Description
boolean	ProbabilityDistribution.satisfies(PclBeliefSet beliefBase)

Uses of PclBeliefSet in net.sf.tweety.logics.pcl.util

Methods in net.sf.tweety.logics.pcl.util with parameters of type PclBeliefSet

Modifier and Type	Method and Description
static org.ojalgo.matrix.PrimitiveMatrix	OjAlgoPclUtils.createConstraintMatrix(PclBeliefSet beliefSet, Set<net.sf.tweety.logics.pl.semantics.PossibleWorld> worlds) Create constraint matrix for a set of PCL conditionals over a set of possible worlds.
static void	MatlabUtils.printAntecedenceVerificationMatrix(PrintStream out, PclBeliefSet beliefSet, Set<net.sf.tweety.logics.pl.semantics.PossibleWorld> worlds) Print antecedence verification matrix (1 if antecedence is satisfied, 0 otherwise)
static void	MatlabUtils.printConditionalVerificationMatrix(PrintStream out, PclBeliefSet beliefSet, Set<net.sf.tweety.logics.pl.semantics.PossibleWorld> worlds) Print conditional verification matrix (1 if antecedence and consequence are satisfied, 0 otherwise)
static void	MatlabUtils.printConstraintMatrix(PrintStream out, PclBeliefSet beliefSet, Set<net.sf.tweety.logics.pl.semantics.PossibleWorld> worlds) Print constraint matrix for belief set and possible worlds to output stream.