Uses of Interface
org.tweetyproject.commons.Interpretation
Package
Description
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Uses of Interpretation in org.tweetyproject.agents.dialogues
Modifier and TypeClassDescriptionclass
This class packs an extension into an executable object. -
Uses of Interpretation in org.tweetyproject.arg.aba.semantics
Modifier and TypeClassDescriptionclass
AbaExtension<T extends Formula>
This class models an ABA Extension, meaning a set of assumptions. -
Uses of Interpretation in org.tweetyproject.arg.aspic.order
Modifier and TypeClassDescriptionclass
LastLinkOrder<T extends Invertable>
class
RuleComparator<T extends Invertable>
class
SimpleAspicOrder<T extends Invertable>
class
WeakestLinkOrder<T extends Invertable>
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Uses of Interpretation in org.tweetyproject.arg.dung.ldo.semantics
Modifier and TypeClassDescriptionclass
This class models an LDO interpretation, i.e., a pair of an argumentation framework and (possibly) an extension. -
Uses of Interpretation in org.tweetyproject.arg.dung.learning.syntax
Modifier and TypeClassDescriptionclass
Implementation of the input labeling (here called example) as an extension of normal labeling i.e. -
Uses of Interpretation in org.tweetyproject.arg.dung.semantics
Modifier and TypeClassDescriptionclass
This abstract class acts as a common ancestor for interpretations to abstract argumentation frameworks.class
a set of claimsclass
Extension<T extends ArgumentationFramework<Argument>>
This class models a (possible) extension of a Dung theory, i.e.class
This class models a labeling of an abstract argumentation framework, i.e.class
This class implements stratified labelings as in [Thimm, Kern-Isberner, 2013]. -
Uses of Interpretation in org.tweetyproject.arg.dung.serialisability.semantics
Modifier and TypeClassDescriptionclass
Representation of a serialisation sequence, i.e., a sequence of initial sets of the respective reducts. -
Uses of Interpretation in org.tweetyproject.arg.social.semantics
Modifier and TypeClassDescriptionclass
Implements a mapping from arguments to social value. -
Uses of Interpretation in org.tweetyproject.commons
Modifier and TypeInterfaceDescriptioninterface
InterpretationIterator<S extends Formula,
B extends BeliefBase, T extends Interpretation<B, S>> An iterator over interpretations.interface
ModelProvider<S extends Formula,
B extends BeliefBase, T extends Interpretation<B, S>> Instances of this interface model reasoners that determine the (selected) models for a given set of formulas.Modifier and TypeClassDescriptionclass
AbstractInterpretation<B extends BeliefBase,
S extends Formula> An abstract interpretation for some logical language.class
InterpretationSet<T extends Formula,
B extends BeliefBase, S extends Formula> This class models an interpretation that is a set of some formula and as such implements the java.util.Collection interface. -
Uses of Interpretation in org.tweetyproject.commons.analysis
Modifier and TypeClassDescriptionclass
DrasticDistance<T extends Interpretation<B,
S>, B extends BeliefBase, S extends Formula> This class models the drastic distance measure between interpretations, see [Grant, Hunter.interface
InterpretationDistance<T extends Interpretation<B,
S>, B extends BeliefBase, S extends Formula> Classes implementing this interface represent distance functions between two interpretations. -
Uses of Interpretation in org.tweetyproject.comparator
Modifier and TypeClassDescriptionclass
GeneralComparator<T extends Formula,
R extends BeliefBase> This abstract class is the common ancestor for semantical approaches to ranking, i.e.class
LatticePartialOrder<T extends Formula,
R extends BeliefBase> This class models comparable element ranking by representing the acceptability of comparable elements in a graph-based structure.class
NumericalPartialOrder<T extends Formula,
R extends BeliefBase> This class provides an acceptability interpretation of arguments by assigning them real values. -
Uses of Interpretation in org.tweetyproject.logics.cl.semantics
Modifier and TypeClassDescriptionclass
A ranking function (or ordinal conditional function, OCF) that maps possible worlds of a propositional language to integers. -
Uses of Interpretation in org.tweetyproject.logics.commons.analysis
Modifier and TypeClassDescriptionclass
DHitInconsistencyMeasure<T extends Interpretation<B,
S>, B extends BeliefBase, S extends Formula> This class implements the d-hit inconsistency measure from [Grant, Hunter.class
DMaxInconsistencyMeasure<T extends Interpretation<B,
S>, B extends BeliefBase, S extends Formula> This class implements the d-max inconsistency measure from [Grant, Hunter.class
DSumInconsistencyMeasure<T extends Interpretation<B,
S>, B extends BeliefBase, S extends Formula> This class implements the d-sum inconsistency measure from [Grant, Hunter.Modifier and TypeMethodDescriptionConsistencyWitnessProvider.getWitness
(Collection<S> formulas) If the collection of formulas is consistent this method returns some model of it or, if it is inconsistent, null.ConsistencyWitnessProvider.getWitness
(BeliefSet<S, ?> bs) If the belief set is consistent this method returns some model of it or, if it is inconsistent, null.ConsistencyWitnessProvider.getWitness
(S formula) If the formula is consistent this method returns some model of it or, if it is inconsistent, null.ModifierConstructorDescriptionEtaInconsistencyMeasure
(InterpretationIterator<S, B, ? extends Interpretation<B, S>> it) Creates a new inconsistency measure that uses the interpretations given by the given iterator.HsInconsistencyMeasure
(InterpretationIterator<S, B, ? extends Interpretation<B, S>> it) Creates a new inconsistency measure that uses the interpretations given by the given iterator. -
Uses of Interpretation in org.tweetyproject.logics.dl.semantics
Modifier and TypeClassDescriptionclass
This class models an interpretation for description logics. -
Uses of Interpretation in org.tweetyproject.logics.fol.semantics
Modifier and TypeClassDescriptionclass
A Herbrand interpretation is an interpretation for a first-order signature, stating all ground atoms that are true in the interpretation. -
Uses of Interpretation in org.tweetyproject.logics.ml.semantics
Modifier and TypeClassDescriptionclass
This class models a Kripke model, i.e.class
Modified version of HerbrandInterpretation that allows for modal formulas.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 TypeMethodDescriptionAccessibilityRelation.getSuccessors
(Interpretation<FolBeliefSet, FolFormula> i) Returns all interpretations that are accessible to a given interpretation i.Modifier and TypeMethodDescriptionboolean
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 Interpretation in org.tweetyproject.logics.pcl.semantics
Modifier and TypeClassDescriptionclass
ProbabilityDistribution<T extends Interpretation<PlBeliefSet,
PlFormula>> This class represents a probability distribution on some logical languageModifier and TypeClassDescriptionclass
ProbabilityDistribution<T extends Interpretation<PlBeliefSet,
PlFormula>> This class represents a probability distribution on some logical languageModifier and TypeMethodDescriptionstatic <S extends Interpretation<PlBeliefSet,
PlFormula>>
ProbabilityDistribution<S> ProbabilityDistribution.convexCombination
(double[] factors, ProbabilityDistribution<S>[] creators) Computes the convex combination of the given probability distributions P1,...,PN with parameters factors, i.e.static <S extends Interpretation<PlBeliefSet,
PlFormula>>
ProbabilityDistribution<S> ProbabilityDistribution.getUniformDistribution
(Set<S> interpretations, Signature sig) Returns the uniform distribution on the given interpretations.Modifier and TypeMethodDescriptionProbabilityDistribution.probability
(Interpretation<PlBeliefSet, PlFormula> w) Gets the probability of the given Herbrand interpretation (this is just an alias for get(Object o). -
Uses of Interpretation in org.tweetyproject.logics.pl.sat
Modifier and TypeMethodDescriptionCmdLineSatSolver.getWitness
(Collection<PlFormula> formulas, Map<Proposition, Integer> prop_index, Map<Integer, Proposition> prop_inverted_index, List<String> additional_clauses) DimacsMaxSatSolver.getWitness
(Collection<PlFormula> formulas) DimacsMaxSatSolver.getWitness
(Collection<PlFormula> hardConstraints, Map<PlFormula, Integer> softConstraints) interpretation of formulasabstract Interpretation
<PlBeliefSet, PlFormula> DimacsMaxSatSolver.getWitness
(Collection<PlFormula> hardConstraints, Map<PlFormula, Integer> softConstraints, Map<Proposition, Integer> prop_index, Map<Integer, Proposition> prop_inverted_index) Return the interpetationDimacsSatSolver.getWitness
(Collection<PlFormula> formulas) If the collection of formulas is consistent this method returns some model of it or, if it is inconsistent, null.abstract Interpretation
<PlBeliefSet, PlFormula> DimacsSatSolver.getWitness
(Collection<PlFormula> formulas, Map<Proposition, Integer> prop_index, Map<Integer, Proposition> prop_inverted_index, List<String> additional_clauses) If the collection of formulas is consistent this method returns some model of it or, if it is inconsistent, null.abstract Interpretation
<PlBeliefSet, PlFormula> MaxSatSolver.getWitness
(Collection<PlFormula> hardConstraints, Map<PlFormula, Integer> softConstraints) Returns an interpretation with maximal weight on the soft constraints (or null if the hard constraints are not satisfiable)OpenWboSolver.getWitness
(Collection<PlFormula> hardConstraints, Map<PlFormula, Integer> softConstraints, Map<Proposition, Integer> prop_index, Map<Integer, Proposition> prop_inverted_index) Sat4jSolver.getWitness
(Collection<PlFormula> formulas, Map<Proposition, Integer> prop_index, Map<Integer, Proposition> prop_inverted_index, List<String> additional_clauses) abstract Interpretation
<PlBeliefSet, PlFormula> SatSolver.getWitness
(Collection<PlFormula> formulas) If the collection of formulas is consistent this method returns some model of it or, if it is inconsistent, null.SatSolver.getWitness
(BeliefSet<PlFormula, ?> bs) SatSolver.getWitness
(PlFormula formula) SimpleDpllSolver.getWitness
(Collection<PlFormula> formulas) Modifier and TypeMethodDescriptionstatic int
MaxSatSolver.costOf
(Interpretation<PlBeliefSet, PlFormula> interpretation, Collection<PlFormula> hardConstraints, Map<PlFormula, Integer> softConstraints) Returns the cost of the given interpretation, i.e. -
Uses of Interpretation in org.tweetyproject.logics.pl.semantics
Modifier and TypeClassDescriptionclass
A fuzzy interpretation for propositional logic.class
Wrapper for the PossibleWorld providing better representation mechanisms, it knows all the possible propositions (the signature) and therefore provides a complete representation that maps a boolean to the Proposition.class
This class represents a possible world of propositional logic, i.e.class
A three-valued interpretation for propositional logic from Priest's three valued logic (3VL) [Priest, G.: Logic of paradox. -
Uses of Interpretation in org.tweetyproject.logics.qbf.semantics
Modifier and TypeClassDescriptionclass
This class represents a possible world of quantified boolean logic, i.e. -
Uses of Interpretation in org.tweetyproject.logics.rcl.semantics
Modifier and TypeClassDescriptionclass
A relational ranking function (or relational ordinal conditional function, ROCF) that maps Herbrand interpretations to integers. -
Uses of Interpretation in org.tweetyproject.logics.rdl.semantics
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Uses of Interpretation 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 TypeClassDescriptionclass
Instances of this class represent condensed probability distributions, rf.class
Instances of this class represent reference worlds, i.e.class
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. -
Uses of Interpretation in org.tweetyproject.logics.translators.adfconditional
Modifier and TypeClassDescriptionclass
This class models a four-valued interpretation for propositional logic Formulas are interpreted using completions Every atom is assigned one of the four truth values: TRUE, FALSE, UNDECIDED, INCONSISTENTclass
This class models a three-valued interpretation for propositional logic Formulas are interpreted using completions Every atom is assigned one of the three truth values: TRUE, FALSE, UNDECIDED. -
Uses of Interpretation in org.tweetyproject.logics.translators.adfrevision
Modifier and TypeClassDescriptionclass
This class models a three-valued interpretation for propositional logic from Priest's three valued logic (3VL) [Priest, G.: Logic of paradox.class
A ranking function (or ordinal conditional function, OCF) that maps possible worlds of a propositional language to integers. -
Uses of Interpretation in org.tweetyproject.lp.asp.semantics
Modifier and TypeClassDescriptionclass
An answer set is a belief set which only contains literals and represents the deductive belief set of an extended logic program under the answer set semantic.