Uses of Class
org.tweetyproject.arg.dung.semantics.AbstractArgumentationInterpretation

Packages that use AbstractArgumentationInterpretation

Package	Description
org.tweetyproject.agents.dialogues
org.tweetyproject.arg.dung.semantics
org.tweetyproject.arg.prob.semantics
org.tweetyproject.arg.rankings.semantics

Uses of AbstractArgumentationInterpretation in org.tweetyproject.agents.dialogues

Subclasses of AbstractArgumentationInterpretation in org.tweetyproject.agents.dialogues

Modifier and Type	Class	Description
class	ExecutableExtension	This class packs an extension into an executable object.

Uses of AbstractArgumentationInterpretation in org.tweetyproject.arg.dung.semantics

Subclasses of AbstractArgumentationInterpretation in org.tweetyproject.arg.dung.semantics

Modifier and Type	Class	Description
class	Extension	This class models a (possible) extension of a Dung theory, i.e.
class	Labeling	This class models a labeling of an abstract argumentation framework, i.e.

Uses of AbstractArgumentationInterpretation in org.tweetyproject.arg.prob.semantics

Methods in org.tweetyproject.arg.prob.semantics with parameters of type AbstractArgumentationInterpretation

Modifier and Type	Method	Description
static ProbabilisticExtension	ProbabilisticExtension.getCharacteristicProbabilisticExtension(DungTheory theory, AbstractArgumentationInterpretation i)	Returns the characteristic probabilistic extension of the given interpretation, i.e.

Uses of AbstractArgumentationInterpretation in org.tweetyproject.arg.rankings.semantics

Subclasses of AbstractArgumentationInterpretation in org.tweetyproject.arg.rankings.semantics

Modifier and Type	Class	Description
class	ArgumentRanking	This abstract class is the common ancestor for semantical approaches to argument ranking, i.e.
class	LatticeArgumentRanking	This class models argument ranking by representing the acceptability of arguments in a graph-based structure.
class	NumericalArgumentRanking	This class provides a acceptability interpretation of arguments by assigning them real values where larger values indicate more acceptability.