Package org.tweetyproject.arg.dung.reasoner

Class SimpleSccCompleteReasoner

java.lang.Object

org.tweetyproject.arg.dung.reasoner.AbstractDungReasoner

org.tweetyproject.arg.dung.reasoner.AbstractExtensionReasoner

org.tweetyproject.arg.dung.reasoner.SimpleSccCompleteReasoner

All Implemented Interfaces:

ModelProvider<Argument,DungTheory,Extension<DungTheory>>, PostulateEvaluatable<Argument>, QualitativeReasoner<DungTheory,Argument>, Reasoner<Boolean,DungTheory,Argument>

public class SimpleSccCompleteReasoner
extends AbstractExtensionReasoner

This reasoner for Dung theories performs inference on the complete extensions. Computes the set of all complete extensions, i.e., all admissible sets that contain all their acceptable arguments. Exploits the structure of the strongly-connected components (SCCs) to determine extensions.

Author:

Matthias Thimm

Constructor Summary

Constructors

Constructor	Description
SimpleSccCompleteReasoner()

Method Summary

Modifier and Type	Method	Description
Extension<DungTheory>	getModel(DungTheory bbase)	Returns a single (dedicated) model of the given belief base.
Collection<Extension<DungTheory>>	getModels(DungTheory bbase)	Returns a characterizing model of the given belief base

Methods inherited from class org.tweetyproject.arg.dung.reasoner.AbstractExtensionReasoner

getSimpleReasonerForSemantics, isInstalled, query, query

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

SimpleSccCompleteReasoner

public SimpleSccCompleteReasoner()

Method Details

getModels

public Collection<Extension<DungTheory>> getModels(DungTheory bbase)

Description copied from interface: ModelProvider

Returns a characterizing model of the given belief base

Parameters:

bbase - some belief base

Returns:

the (selected) models of the belief base

getModel

public Extension<DungTheory> getModel(DungTheory bbase)

Description copied from interface: ModelProvider

Returns a single (dedicated) model of the given belief base. If the implemented method allows for more than one dedicated model, the selection may be non-deterministic.

Parameters:

bbase - some belief base

Returns:

a selected model of the belief base.