Modifier and Type | Method and Description |
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RelationalConditional |
RclParser.parseFormula(java.io.Reader reader) |
Modifier and Type | Method and Description |
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private RelationalRankingFunction |
RelationalBruteForceCReasoner.constructRankingFunction(java.lang.Integer[] kappa,
java.util.Map<java.lang.Integer,RelationalConditional> indexToConditional,
FolSignature signature)
Constructs a ranking function with the given kappa values [k1+,k1-,...,kn+,kn-], i.e.
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Modifier and Type | Method and Description |
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private java.util.Set<RelationalConditional> |
RelationalRankingFunction.getPrototypes(RelationalConditional rc)
Returns the set of instances with prototypes.
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private java.util.Set<RelationalConditional> |
RelationalRankingFunction.getWeakPrototypes(RelationalConditional rc)
Returns the set of instances with weak prototypes.
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Modifier and Type | Method and Description |
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private java.util.Set<RelationalConditional> |
RelationalRankingFunction.getPrototypes(RelationalConditional rc)
Returns the set of instances with prototypes.
|
private java.util.Set<RelationalConditional> |
RelationalRankingFunction.getWeakPrototypes(RelationalConditional rc)
Returns the set of instances with weak prototypes.
|
java.lang.Integer |
RelationalRankingFunction.numFalsifiedInstances(HerbrandInterpretation w,
RelationalConditional rc)
Returns the number of instances of "rc" that are falsified by
the given interpretation.
|
java.lang.Integer |
RelationalRankingFunction.numVerifiedInstances(HerbrandInterpretation w,
RelationalConditional rc)
Returns the number of instances of "rc" that are verified by
the given interpretation.
|
boolean |
RelationalRankingFunction.satisfies(RelationalConditional formula) |
Modifier and Type | Method and Description |
---|---|
RelationalConditional |
RelationalConditional.clone() |
Constructor and Description |
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RclBeliefSet(java.util.Collection<? extends RelationalConditional> conditionals)
Creates a new relational conditional belief set with the given collection of
relational conditionals.
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Modifier and Type | Method and Description |
---|---|
Probability |
RpclProbabilityDistribution.probability(RelationalConditional re)
Gets the probability of the given closed relational conditional "re", i.e.
|
Modifier and Type | Class and Description |
---|---|
class |
RelationalProbabilisticConditional
This class represents a relational probabilistic conditional, i.e.
|
Constructor and Description |
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RelationalProbabilisticConditional(RelationalConditional conditional,
Probability probability)
Creates a new relational probabilistic conditional with the given conditional and probability
|