Uses of Class
net.sf.tweety.logics.pcl.syntax.PclBeliefSet
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Uses of PclBeliefSet in net.sf.tweety.logics.pcl.analysis
Fields in net.sf.tweety.logics.pcl.analysis with type parameters of type PclBeliefSet Modifier and Type Field Description private java.util.Map<PclBeliefSet,java.lang.Double>
DistanceMinimizationInconsistencyMeasure. archive
For archiving inconsistency values.private java.util.Map<PclBeliefSet,java.lang.Double>
LowerApproxDistanceMinimizationInconsistencyMeasure. archive
For archiving.private java.util.Map<PclBeliefSet,java.lang.Double>
UpperApproxDistanceMinimizationInconsistencyMeasure. archive
For archiving.private java.util.Map<PclBeliefSet,java.util.Map<ProbabilisticConditional,java.lang.Double>>
DistanceMinimizationInconsistencyMeasure. archiveDevs
For archiving eta/tau values.private CulpabilityMeasure<ProbabilisticConditional,PclBeliefSet>
BalancedMachineShop. culpabilityMeasure
The culpability measure used by this machine shop.private CulpabilityMeasure<ProbabilisticConditional,PclBeliefSet>
PclBeliefSetQuadraticErrorMinimizationMachineShop. culpabilityMeasure
The culpability measure this machine shop bases on.private CulpabilityMeasure<ProbabilisticConditional,PclBeliefSet>
SmoothedPenalizingCreepingMachineShop. culpabilityMeasure
The culpability measure used by this machine shop.Methods in net.sf.tweety.logics.pcl.analysis that return PclBeliefSet Modifier and Type Method Description protected PclBeliefSet
AbstractCreepingMachineShop. characteristicFunction(PclBeliefSet beliefSet, java.util.Map<ProbabilisticConditional,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 Description protected PclBeliefSet
AbstractCreepingMachineShop. characteristicFunction(PclBeliefSet beliefSet, java.util.Map<ProbabilisticConditional,Probability> values)
Returns a modified belief base that replaces each conditionals probability by the one given by "values".java.lang.Double
MeanDistanceCulpabilityMeasure. culpabilityMeasure(PclBeliefSet beliefSet, ProbabilisticConditional conditional)
java.lang.Double
SignedCulpabilityMeasure. culpabilityMeasure(PclBeliefSet beliefSet, ProbabilisticConditional conditional)
private OptimizationProblem
MeanDistanceCulpabilityMeasure. getBaseProblem(PclBeliefSet beliefSet, ProbabilisticConditional conditional, double incVal)
Creates the base problem (without target function set) for determining both minimal and maximal incon values.java.lang.Double
DistanceMinimizationInconsistencyMeasure. getDeviation(PclBeliefSet beliefSet, ProbabilisticConditional pc)
Returns the deviation of the given conditional in the nearest consistent belief set.private java.lang.Double
MeanDistanceCulpabilityMeasure. getMaximumValue(PclBeliefSet beliefSet, ProbabilisticConditional conditional, double incVal)
Determines the maximal value for the given conditional.private java.lang.Double
MeanDistanceCulpabilityMeasure. getMinimumValue(PclBeliefSet beliefSet, ProbabilisticConditional conditional, double incVal)
Determines the minimal value for the given conditional.protected abstract java.util.Map<ProbabilisticConditional,Probability>
AbstractCreepingMachineShop. getValues(double delta, PclBeliefSet beliefSet)
Computes the values of the conditionals for step deltaprotected java.util.Map<ProbabilisticConditional,Probability>
PenalizingCreepingMachineShop. getValues(double delta, PclBeliefSet beliefSet)
protected java.util.Map<ProbabilisticConditional,Probability>
SmoothedPenalizingCreepingMachineShop. getValues(double delta, PclBeliefSet beliefSet)
protected java.util.Map<ProbabilisticConditional,Probability>
UnbiasedCreepingMachineShop. getValues(double delta, PclBeliefSet beliefSet)
protected void
AbstractCreepingMachineShop. init(PclBeliefSet beliefSet)
Performs some optional initializations before beginning to restore consistency.protected void
SmoothedPenalizingCreepingMachineShop. init(PclBeliefSet beliefSet)
protected abstract BeliefBase
MinimalViolationEuclideanMachineShop. repair(PclBeliefSet beliefSet)
protected BeliefBase
MinimalViolationEuclideanMachineShopOjAlgoExpression. repair(PclBeliefSet beliefSet)
Compute solution using ojalgos matrix representation.protected BeliefBase
MinimalViolationEuclideanMachineShopOjAlgoMatrix. repair(PclBeliefSet beliefSet)
Compute solution using ojalgos matrix representation.java.lang.Double
MeanDistanceCulpabilityMeasure. sign(PclBeliefSet beliefSet, ProbabilisticConditional conditional)
java.lang.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 Description BalancedMachineShop(CulpabilityMeasure<ProbabilisticConditional,PclBeliefSet> culpabilityMeasure)
PclBeliefSetQuadraticErrorMinimizationMachineShop(CulpabilityMeasure<ProbabilisticConditional,PclBeliefSet> culpabilityMeasure)
Creates a new machine shop based on the given culpability measure.SmoothedPenalizingCreepingMachineShop(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 Description PclBeliefSet
PclParser. parseBeliefBase(java.io.Reader reader)
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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 Description abstract ProbabilityDistribution<PossibleWorld>
AbstractPclReasoner. getModel(PclBeliefSet beliefbase)
ProbabilityDistribution<PossibleWorld>
DefaultMeReasoner. getModel(PclBeliefSet beliefbase)
ProbabilityDistribution<PossibleWorld>
DefaultMeReasoner. getModel(PclBeliefSet bs, PlSignature signature)
Computes the ME-distribution this reasoner bases on.ProbabilityDistribution<PossibleWorld>
GeneralizedMeReasoner. getModel(PclBeliefSet beliefbase)
ProbabilityDistribution<PossibleWorld>
GeneralizedMeReasoner. getModel(PclBeliefSet bs, PlSignature signature)
Computes the ME-distribution this reasoner bases on.abstract java.util.Collection<ProbabilityDistribution<PossibleWorld>>
AbstractPclReasoner. getModels(PclBeliefSet bbase)
java.util.Collection<ProbabilityDistribution<PossibleWorld>>
DefaultMeReasoner. getModels(PclBeliefSet bbase)
java.util.Collection<ProbabilityDistribution<PossibleWorld>>
GeneralizedMeReasoner. getModels(PclBeliefSet bbase)
abstract java.lang.Double
AbstractPclReasoner. query(PclBeliefSet beliefbase, PlFormula formula)
java.lang.Double
DefaultMeReasoner. query(PclBeliefSet beliefbase, PlFormula formula)
java.lang.Double
GeneralizedMeReasoner. query(PclBeliefSet beliefbase, PlFormula formula)
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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 Description boolean
ProbabilityDistribution. satisfies(PclBeliefSet beliefBase)
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Uses of PclBeliefSet in net.sf.tweety.logics.pcl.test
Fields in net.sf.tweety.logics.pcl.test with type parameters of type PclBeliefSet Modifier and Type Field Description (package private) java.util.LinkedList<PclBeliefSet>
MinimalViolationInconsistencyMeasureLPSolveTest. kbs
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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 Description static org.ojalgo.matrix.PrimitiveMatrix
OjAlgoPclUtils. createConstraintMatrix(PclBeliefSet beliefSet, java.util.Set<PossibleWorld> worlds)
Create constraint matrix for a set of PCL conditionals over a set of possible worlds.static void
MatlabUtils. printAntecedenceVerificationMatrix(java.io.PrintStream out, PclBeliefSet beliefSet, java.util.Set<PossibleWorld> worlds)
Print antecedence verification matrix (1 if antecedence is satisfied, 0 otherwise)static void
MatlabUtils. printConditionalVerificationMatrix(java.io.PrintStream out, PclBeliefSet beliefSet, java.util.Set<PossibleWorld> worlds)
Print conditional verification matrix (1 if antecedence and consequence are satisfied, 0 otherwise)static void
MatlabUtils. printConstraintMatrix(java.io.PrintStream out, PclBeliefSet beliefSet, java.util.Set<PossibleWorld> worlds)
Print constraint matrix for belief set and possible worlds to output stream.
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