Uses of Class net.sf.tweety.logics.pcl.syntax.ProbabilisticConditional (Tweety (Probabilistic Conditional Logic Library) 1.16 API)

Packages that use ProbabilisticConditional
Package	Description
net.sf.tweety.logics.pcl.analysis
net.sf.tweety.logics.pcl.parser
net.sf.tweety.logics.pcl.semantics
net.sf.tweety.logics.pcl.syntax

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

Methods in net.sf.tweety.logics.pcl.analysis that return types with arguments of type ProbabilisticConditional
Modifier and Type	Method	Description
`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>`	SmoothedPenalizingCreepingMachineShop.`getValues(double delta, PclBeliefSet beliefSet)`
`protected Map<ProbabilisticConditional,net.sf.tweety.math.probability.Probability>`	UnbiasedCreepingMachineShop.`getValues(double delta, PclBeliefSet beliefSet)`

Methods in net.sf.tweety.logics.pcl.analysis with parameters of type ProbabilisticConditional
Modifier and Type	Method	Description
`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.
`boolean`	PclDefaultConsistencyTester.`isConsistent(ProbabilisticConditional formula)`
`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.

Method parameters in net.sf.tweety.logics.pcl.analysis with type arguments of type ProbabilisticConditional
Modifier and Type	Method	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`	DistanceMinimizationInconsistencyMeasure.`inconsistencyMeasure(Collection<ProbabilisticConditional> formulas)`
`Double`	LowerApproxDistanceMinimizationInconsistencyMeasure.`inconsistencyMeasure(Collection<ProbabilisticConditional> formulas)`
`Double`	MinimalViolation2InconsistencyMeasure.`inconsistencyMeasure(Collection<ProbabilisticConditional> formulas)`
`Double`	MinimalViolationInconsistencyMeasure.`inconsistencyMeasure(Collection<ProbabilisticConditional> formulas)`
`Double`	NormalizedDistanceMinimizationInconsistencyMeasure.`inconsistencyMeasure(Collection<ProbabilisticConditional> formulas)`
`Double`	NormalizedLowerApproxDistanceMinimizationInconsistencyMeasure.`inconsistencyMeasure(Collection<ProbabilisticConditional> formulas)`
`Double`	NormalizedUpperApproxDistanceMinimizationInconsistencyMeasure.`inconsistencyMeasure(Collection<ProbabilisticConditional> formulas)`
`Double`	UpperApproxDistanceMinimizationInconsistencyMeasure.`inconsistencyMeasure(Collection<ProbabilisticConditional> formulas)`
`boolean`	PclDefaultConsistencyTester.`isConsistent(Collection<ProbabilisticConditional> formulas)`

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

Methods in net.sf.tweety.logics.pcl.parser that return ProbabilisticConditional
Modifier and Type Method Description

ProbabilisticConditional PclParser.parseFormula(Reader reader)

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

Methods in net.sf.tweety.logics.pcl.semantics with parameters of type ProbabilisticConditional
Modifier and Type	Method	Description
`boolean`	ProbabilityDistribution.`satisfies(ProbabilisticConditional formula)`

Uses of ProbabilisticConditional in net.sf.tweety.logics.pcl.syntax

Methods in net.sf.tweety.logics.pcl.syntax that return ProbabilisticConditional
Modifier and Type	Method	Description
`ProbabilisticConditional`	ProbabilisticConditional.`complement()`

Methods in net.sf.tweety.logics.pcl.syntax with parameters of type ProbabilisticConditional
Modifier and Type	Method	Description
`boolean`	ProbabilisticConditional.`qualitativeEquals(ProbabilisticConditional other)`	Checks whether this and the given probabilistic conditional are qualitatively equivalent, i.e.

Constructor parameters in net.sf.tweety.logics.pcl.syntax with type arguments of type ProbabilisticConditional
Constructor	Description
`PclBeliefSet(Collection<? extends ProbabilisticConditional> conditionals)`	Creates a new conditional belief set with the given collection of conditionals.