Modifier and Type | Field and Description |
---|---|
private java.util.Map<PclBeliefSet,java.util.Map<ProbabilisticConditional,java.lang.Double>> |
DistanceMinimizationInconsistencyMeasure.archiveDevs
For archiving eta/tau values.
|
private CulpabilityMeasure<ProbabilisticConditional,PclBeliefSet> |
PclBeliefSetQuadraticErrorMinimizationMachineShop.culpabilityMeasure
The culpability measure this machine shop bases on.
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private CulpabilityMeasure<ProbabilisticConditional,PclBeliefSet> |
SmoothedPenalizingCreepingMachineShop.culpabilityMeasure
The culpability measure used by this machine shop.
|
private CulpabilityMeasure<ProbabilisticConditional,PclBeliefSet> |
BalancedMachineShop.culpabilityMeasure
The culpability measure used by this machine shop.
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private java.util.Map<ProbabilisticConditional,java.lang.Double> |
PenalizingCreepingMachineShop.culpVector
The culpability vector.
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Modifier and Type | Method and Description |
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protected java.util.Map<ProbabilisticConditional,Probability> |
SmoothedPenalizingCreepingMachineShop.getValues(double delta,
PclBeliefSet beliefSet) |
protected abstract java.util.Map<ProbabilisticConditional,Probability> |
AbstractCreepingMachineShop.getValues(double delta,
PclBeliefSet beliefSet)
Computes the values of the conditionals for step delta
|
protected java.util.Map<ProbabilisticConditional,Probability> |
PenalizingCreepingMachineShop.getValues(double delta,
PclBeliefSet beliefSet) |
protected java.util.Map<ProbabilisticConditional,Probability> |
UnbiasedCreepingMachineShop.getValues(double delta,
PclBeliefSet beliefSet) |
Modifier and Type | Method and Description |
---|---|
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.
|
boolean |
PclDefaultConsistencyTester.isConsistent(ProbabilisticConditional formula) |
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.
|
Modifier and Type | Method and 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 |
MinimalViolation2InconsistencyMeasure.inconsistencyMeasure(java.util.Collection<ProbabilisticConditional> formulas) |
java.lang.Double |
MinimalViolationInconsistencyMeasure.inconsistencyMeasure(java.util.Collection<ProbabilisticConditional> formulas) |
java.lang.Double |
NormalizedDistanceMinimizationInconsistencyMeasure.inconsistencyMeasure(java.util.Collection<ProbabilisticConditional> formulas) |
java.lang.Double |
LowerApproxDistanceMinimizationInconsistencyMeasure.inconsistencyMeasure(java.util.Collection<ProbabilisticConditional> formulas) |
java.lang.Double |
UpperApproxDistanceMinimizationInconsistencyMeasure.inconsistencyMeasure(java.util.Collection<ProbabilisticConditional> formulas) |
java.lang.Double |
DistanceMinimizationInconsistencyMeasure.inconsistencyMeasure(java.util.Collection<ProbabilisticConditional> formulas) |
java.lang.Double |
NormalizedUpperApproxDistanceMinimizationInconsistencyMeasure.inconsistencyMeasure(java.util.Collection<ProbabilisticConditional> formulas) |
java.lang.Double |
NormalizedLowerApproxDistanceMinimizationInconsistencyMeasure.inconsistencyMeasure(java.util.Collection<ProbabilisticConditional> formulas) |
boolean |
PclDefaultConsistencyTester.isConsistent(java.util.Collection<ProbabilisticConditional> formulas) |
Constructor and Description |
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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.
|
Modifier and Type | Method and Description |
---|---|
ProbabilisticConditional |
PclParser.parseFormula(java.io.Reader reader) |
Modifier and Type | Field and Description |
---|---|
private BeliefSetInconsistencyMeasure<ProbabilisticConditional> |
GeneralizedMeReasoner.inc
The corresponding inconsistency measure.
|
Modifier and Type | Method and Description |
---|---|
boolean |
ProbabilityDistribution.satisfies(ProbabilisticConditional formula) |
Modifier and Type | Method and Description |
---|---|
ProbabilisticConditional |
ProbabilisticConditional.complement() |
Modifier and Type | Method and Description |
---|---|
boolean |
ProbabilisticConditional.qualitativeEquals(ProbabilisticConditional other)
Checks whether this and the given probabilistic conditional are
qualitatively equivalent, i.e.
|
Constructor and Description |
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PclBeliefSet(java.util.Collection<? extends ProbabilisticConditional> conditionals)
Creates a new conditional belief set with the given collection of
conditionals.
|
Modifier and Type | Field and Description |
---|---|
(package private) InconsistencyMeasure<BeliefSet<ProbabilisticConditional>> |
MinimalViolationInconsistencyMeasureLPSolveTest.inc |