Package org.tweetyproject.arg.rankings.reasoner

Class BurdenBasedRankingReasoner

java.lang.Object

org.tweetyproject.arg.rankings.reasoner.AbstractRankingReasoner<LatticePartialOrder<Argument,DungTheory>>

org.tweetyproject.arg.rankings.reasoner.BurdenBasedRankingReasoner

All Implemented Interfaces:

ModelProvider<Argument,DungTheory,LatticePartialOrder<Argument,DungTheory>>, PostulateEvaluatable<Argument>

public class BurdenBasedRankingReasoner
extends AbstractRankingReasoner<LatticePartialOrder<Argument,DungTheory>>

This class implements the "Burden-based" argument semantics approach as proposed by [Amgoud, Ben-Naim. Ranking-based semantics for argumentation frameworks. 2013]. It assigns a "Burden number" to every argument.

Author:

Anna Gessler

Constructor Summary

Constructors

Constructor	Description
BurdenBasedRankingReasoner()	Default Constructor

Method Summary

Modifier and Type	Method	Description
LatticePartialOrder<Argument,DungTheory>	getModel(DungTheory base)	Returns a single (dedicated) model of the given belief base.
Collection<LatticePartialOrder<Argument,DungTheory>>	getModels(DungTheory bbase)	Returns a characterizing model of the given belief base
boolean	isInstalled()	natively installed

Methods inherited from class java.lang.Object

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

Constructor Details

BurdenBasedRankingReasoner

public BurdenBasedRankingReasoner()

Default Constructor

Method Details

getModels

public Collection<LatticePartialOrder<Argument,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 LatticePartialOrder<Argument,DungTheory> getModel(DungTheory base)

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:

base - some belief base

Returns:

a selected model of the belief base.

isInstalled

public boolean isInstalled()

natively installed

Specified by:

isInstalled in class AbstractRankingReasoner<LatticePartialOrder<Argument,DungTheory>>

Returns:

is installed status