Modifier and Type | Method and Description |
---|---|
static RpclProbabilityDistribution |
RpclProbabilityDistributionParser.Distribution(RpclSemantics semantics,
FolSignature signature) |
RpclProbabilityDistribution |
RpclProbabilityDistributionParser.parseProbabilityDistribution(java.io.Reader reader) |
Modifier and Type | Method and Description |
---|---|
RpclProbabilityDistribution<?> |
RpclMeReasoner.getModel(RpclBeliefSet bbase) |
RpclProbabilityDistribution<?> |
RpclMeReasoner.getModel(RpclBeliefSet kb,
FolSignature signature)
Determines the ME distribution of the given knowlege base
wrt.
|
Modifier and Type | Method and Description |
---|---|
java.util.Collection<RpclProbabilityDistribution<?>> |
RpclMeReasoner.getModels(RpclBeliefSet bbase) |
Modifier and Type | Class and Description |
---|---|
class |
CondensedProbabilityDistribution
Instances of this class represent condensed probability distributions, rf.
|
Modifier and Type | Method and Description |
---|---|
RpclProbabilityDistribution<T> |
RpclProbabilityDistribution.convexCombination(double d,
RpclProbabilityDistribution<T> other)
Computes the convex combination of this P1 and the
given probability distribution P2 with parameter d, i.e.
|
static RpclProbabilityDistribution<HerbrandInterpretation> |
RpclProbabilityDistribution.getUniformDistribution(RpclSemantics semantics,
FolSignature signature)
Returns the uniform distribution on the given signature.
|
RpclProbabilityDistribution<ReferenceWorld> |
CondensedProbabilityDistribution.toProbabilityDistribution()
Converts this condensed probability distribution into an ordinary
probability distribution.
|
Modifier and Type | Method and Description |
---|---|
RpclProbabilityDistribution<T> |
RpclProbabilityDistribution.convexCombination(double d,
RpclProbabilityDistribution<T> other)
Computes the convex combination of this P1 and the
given probability distribution P2 with parameter d, i.e.
|
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.
|
Constructor and Description |
---|
DefaultProbabilityDistributionWriter(RpclProbabilityDistribution<?> distribution)
Creates a new writer for the given probability distribution.
|