Uses of Class
net.sf.tweety.logics.fol.syntax.FolBeliefSet

Packages that use FolBeliefSet

Package	Description
net.sf.tweety.logics.fol.parser
net.sf.tweety.logics.fol.reasoner
net.sf.tweety.logics.fol.semantics
net.sf.tweety.logics.fol.writer
net.sf.tweety.logics.ml.semantics
net.sf.tweety.logics.rdl.syntax
net.sf.tweety.logics.rpcl.semantics

Uses of FolBeliefSet in net.sf.tweety.logics.fol.parser

Methods in net.sf.tweety.logics.fol.parser that return FolBeliefSet

Modifier and Type	Method	Description
FolBeliefSet	FolParser.parseBeliefBase(java.io.Reader reader)
FolBeliefSet	TPTPParser.parseBeliefBase(java.io.Reader reader)

Uses of FolBeliefSet in net.sf.tweety.logics.fol.reasoner

Methods in net.sf.tweety.logics.fol.reasoner with parameters of type FolBeliefSet

Modifier and Type	Method	Description
boolean	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)
java.lang.Boolean	EFOLReasoner.query(FolBeliefSet kb, FolFormula query)
abstract java.lang.Boolean	FolReasoner.query(FolBeliefSet beliefbase, FolFormula formula)
java.lang.Boolean	Prover9FolReasoner.query(FolBeliefSet kb, FolFormula query)
java.lang.Boolean	SimpleFolReasoner.query(FolBeliefSet kb, FolFormula formula)
java.lang.Boolean	SpassFolReasoner.query(FolBeliefSet kb, FolFormula query)
java.lang.String	SpassFolReasoner.queryProof(FolBeliefSet kb, Formula query)	Determines the answer wrt.

Uses of FolBeliefSet in net.sf.tweety.logics.fol.semantics

Methods in net.sf.tweety.logics.fol.semantics with parameters of type FolBeliefSet

Modifier and Type	Method	Description
boolean	HerbrandInterpretation.satisfies(FolBeliefSet beliefBase)

Uses of FolBeliefSet in net.sf.tweety.logics.fol.writer

Methods in net.sf.tweety.logics.fol.writer with parameters of type FolBeliefSet

Modifier and Type	Method	Description
void	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 net.sf.tweety.logics.ml.semantics

Methods in net.sf.tweety.logics.ml.semantics that return types with arguments of type FolBeliefSet

Modifier and Type	Method	Description
java.util.Set<Interpretation<FolBeliefSet,FolFormula>>	AccessibilityRelation.getNodes()	Returns all interpretations of the accessibility relation.
java.util.Set<Interpretation<FolBeliefSet,FolFormula>>	AccessibilityRelation.getSuccessors(Interpretation<FolBeliefSet,FolFormula> i)	Returns all interpretations that are accessible to a given interpretation i.

Methods in net.sf.tweety.logics.ml.semantics with parameters of type FolBeliefSet

Modifier and Type	Method	Description
boolean	MlHerbrandInterpretation.satisfies(FolBeliefSet beliefBase)

Method parameters in net.sf.tweety.logics.ml.semantics with type arguments of type FolBeliefSet

Modifier and Type	Method	Description
java.util.Set<Interpretation<FolBeliefSet,FolFormula>>	AccessibilityRelation.getSuccessors(Interpretation<FolBeliefSet,FolFormula> i)	Returns all interpretations that are accessible to a given interpretation i.
boolean	MlHerbrandInterpretation.satisfies(Formula formula, java.util.Set<Interpretation<FolBeliefSet,FolFormula>> successors)	Checks whether this Herbrand interpretation satisfies the given formula.

Constructor parameters in net.sf.tweety.logics.ml.semantics with type arguments of type FolBeliefSet

Constructor	Description
AccessibilityRelation(java.util.Set<Pair<Interpretation<FolBeliefSet,FolFormula>,Interpretation<FolBeliefSet,FolFormula>>> tuples)	Constructs a new accessibility relation.
AccessibilityRelation(java.util.Set<Pair<Interpretation<FolBeliefSet,FolFormula>,Interpretation<FolBeliefSet,FolFormula>>> tuples)	Constructs a new accessibility relation.
KripkeModel(java.util.Set<? extends Interpretation<FolBeliefSet,FolFormula>> possibleWorlds, AccessibilityRelation accRelation)	Creates a new Kripke model.

Uses of FolBeliefSet in net.sf.tweety.logics.rdl.syntax

Methods in net.sf.tweety.logics.rdl.syntax that return FolBeliefSet

Modifier and Type	Method	Description
FolBeliefSet	DefaultTheory.getFacts()

Constructors in net.sf.tweety.logics.rdl.syntax with parameters of type FolBeliefSet

Constructor	Description
DefaultTheory(FolBeliefSet facts, java.util.Collection<DefaultRule> defaults)	constructs a default theory from a knowledge base and a set of defaults

Uses of FolBeliefSet in net.sf.tweety.logics.rpcl.semantics

Classes in net.sf.tweety.logics.rpcl.semantics with type parameters of type FolBeliefSet

Modifier and Type	Class	Description
class	RpclProbabilityDistribution<T extends Interpretation<FolBeliefSet,FolFormula>>	Objects of this class represent probability distributions on the interpretations of an underlying first-order signature for a relational probabilistic conditional knowledge base.

Methods in net.sf.tweety.logics.rpcl.semantics with parameters of type FolBeliefSet

Modifier and Type	Method	Description
boolean	ReferenceWorld.satisfies(FolBeliefSet beliefBase)

Method parameters in net.sf.tweety.logics.rpcl.semantics with type arguments of type FolBeliefSet

Modifier and Type	Method	Description
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)
Statement	AveragingSemantics.getSatisfactionStatement(RelationalProbabilisticConditional r, FolSignature signature, java.util.Map<Interpretation<FolBeliefSet,FolFormula>,FloatVariable> worlds2vars)
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.