Uses of Class
org.tweetyproject.logics.fol.syntax.FolBeliefSet
Package
Description
-
Uses of FolBeliefSet in org.tweetyproject.logics.fol.parser
Modifier and TypeMethodDescriptionFolParser.parseBeliefBase
(Reader reader) TPTPParser.parseBeliefBase
(Reader reader) -
Uses of FolBeliefSet in org.tweetyproject.logics.fol.reasoner
Modifier and TypeMethodDescriptionboolean
EFOLReasoner.equivalent
(FolBeliefSet kb, FolFormula a, FolFormula b) abstract boolean
FolReasoner.equivalent
(FolBeliefSet kb, FolFormula a, FolFormula b) This method determines whether two formulas are equivalent wrt.boolean
Prover9FolReasoner.equivalent
(FolBeliefSet kb, FolFormula a, FolFormula b) boolean
SimpleFolReasoner.equivalent
(FolBeliefSet kb, FolFormula f1, FolFormula f2) boolean
SpassFolReasoner.equivalent
(FolBeliefSet kb, FolFormula a, FolFormula b) EFOLReasoner.query
(FolBeliefSet kb, FolFormula query) abstract Boolean
FolReasoner.query
(FolBeliefSet beliefbase, FolFormula formula) Prover9FolReasoner.query
(FolBeliefSet kb, FolFormula query) SimpleFolReasoner.query
(FolBeliefSet kb, FolFormula formula) SpassFolReasoner.query
(FolBeliefSet kb, FolFormula query) SpassFolReasoner.queryProof
(FolBeliefSet kb, Formula query) Determines the answer wrt. -
Uses of FolBeliefSet in org.tweetyproject.logics.fol.semantics
Modifier and TypeMethodDescriptionboolean
HerbrandInterpretation.satisfies
(FolBeliefSet beliefBase) -
Uses of FolBeliefSet in org.tweetyproject.logics.fol.writer
Modifier and TypeMethodDescriptionvoid
FolWriter.printBase
(FolBeliefSet b) Prints formatted representation of a knowledge base.void
Prover9Writer.printBase
(FolBeliefSet b) void
StandardFolWriter.printBase
(FolBeliefSet b) void
TPTPWriter.printBase
(FolBeliefSet b) void
SPASSWriter.printProblem
(FolBeliefSet kb, RelationalFormula formula) Prints the contents of a SPASS problem file for a given knowledge base and a formula. -
Uses of FolBeliefSet in org.tweetyproject.logics.ml.semantics
Modifier and TypeMethodDescriptionAccessibilityRelation.getNodes()
Returns all interpretations of the accessibility relation.AccessibilityRelation.getSuccessors
(Interpretation<FolBeliefSet, FolFormula> i) Returns all interpretations that are accessible to a given interpretation i.Modifier and TypeMethodDescriptionboolean
MlHerbrandInterpretation.satisfies
(FolBeliefSet beliefBase) Modifier and TypeMethodDescriptionAccessibilityRelation.getSuccessors
(Interpretation<FolBeliefSet, FolFormula> i) Returns all interpretations that are accessible to a given interpretation i.boolean
MlHerbrandInterpretation.satisfies
(Formula formula, Set<Interpretation<FolBeliefSet, FolFormula>> successors) Checks whether this Herbrand interpretation satisfies the given formula.ModifierConstructorDescriptionAccessibilityRelation
(Set<Pair<Interpretation<FolBeliefSet, FolFormula>, Interpretation<FolBeliefSet, FolFormula>>> tuples) Constructs a new accessibility relation.AccessibilityRelation
(Set<Pair<Interpretation<FolBeliefSet, FolFormula>, Interpretation<FolBeliefSet, FolFormula>>> tuples) Constructs a new accessibility relation.KripkeModel
(Set<? extends Interpretation<FolBeliefSet, FolFormula>> possibleWorlds, AccessibilityRelation accRelation) Creates a new Kripke model. -
Uses of FolBeliefSet in org.tweetyproject.logics.rdl.syntax
Modifier and TypeMethodDescriptionDefaultTheory.getFacts()
Return FoL formulas in default theoriesModifierConstructorDescriptionDefaultTheory
(FolBeliefSet facts, Collection<DefaultRule> defaults) constructs a default theory from a knowledge base and a set of defaults -
Uses of FolBeliefSet in org.tweetyproject.logics.rpcl.semantics
Modifier and TypeClassDescriptionclass
Objects of this class represent probability distributions on the interpretations of an underlying first-order signature for a relational probabilistic conditional knowledge base.Modifier and TypeMethodDescriptionabstract Statement
AbstractRpclSemantics.getSatisfactionStatement
(RelationalProbabilisticConditional r, FolSignature signature, Map<Interpretation<FolBeliefSet, FolFormula>, FloatVariable> worlds2vars) AggregatingSemantics.getSatisfactionStatement
(RelationalProbabilisticConditional r, FolSignature signature, Map<Interpretation<FolBeliefSet, FolFormula>, FloatVariable> worlds2vars) AveragingSemantics.getSatisfactionStatement
(RelationalProbabilisticConditional r, FolSignature signature, Map<Interpretation<FolBeliefSet, FolFormula>, FloatVariable> worlds2vars) RpclSemantics.getSatisfactionStatement
(RelationalProbabilisticConditional r, FolSignature signature, Map<Interpretation<FolBeliefSet, FolFormula>, FloatVariable> worlds2vars) Returns the mathematical statement corresponding to the satisfaction of the given conditional wrt.