Statement |
RpclSemantics.getSatisfactionStatement(RelationalProbabilisticConditional r,
FolSignature signature,
java.util.Map<Interpretation<FolBeliefSet,FolFormula>,FloatVariable> worlds2vars)
Returns the mathematical statement corresponding to the satisfaction
of the given conditional wrt.
|
Statement |
AveragingSemantics.getSatisfactionStatement(RelationalProbabilisticConditional r,
FolSignature signature,
java.util.Map<Interpretation<FolBeliefSet,FolFormula>,FloatVariable> worlds2vars) |
abstract Statement |
AbstractRpclSemantics.getSatisfactionStatement(RelationalProbabilisticConditional r,
FolSignature signature,
java.util.Map<Interpretation<FolBeliefSet,FolFormula>,FloatVariable> worlds2vars) |
Statement |
AggregatingSemantics.getSatisfactionStatement(RelationalProbabilisticConditional r,
FolSignature signature,
java.util.Map<Interpretation<FolBeliefSet,FolFormula>,FloatVariable> worlds2vars) |
boolean |
RpclProbabilityDistribution.satisfies(RelationalProbabilisticConditional formula) |
boolean |
CondensedProbabilityDistribution.satisfies(RelationalProbabilisticConditional formula) |
boolean |
RpclSemantics.satisfies(RpclProbabilityDistribution<?> p,
RelationalProbabilisticConditional r)
Checks whether the given probability distribution satisfies the given
conditional wrt.
|
boolean |
AveragingSemantics.satisfies(RpclProbabilityDistribution<?> p,
RelationalProbabilisticConditional r) |
abstract boolean |
AbstractRpclSemantics.satisfies(RpclProbabilityDistribution<?> p,
RelationalProbabilisticConditional r) |
boolean |
AggregatingSemantics.satisfies(RpclProbabilityDistribution<?> p,
RelationalProbabilisticConditional r) |
protected boolean |
AbstractRpclSemantics.satisfiesGroundConditional(RpclProbabilityDistribution<?> p,
RelationalProbabilisticConditional groundConditional)
Checks whether the given ground conditional is satisfied by the given distribution
wrt.
|