Package org.tweetyproject.arg.rankings.reasoner

Class SAFRankingReasoner

java.lang.Object

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

org.tweetyproject.arg.rankings.reasoner.SAFRankingReasoner

All Implemented Interfaces:

ModelProvider<Argument,DungTheory,NumericalPartialOrder<Argument,DungTheory>>, PostulateEvaluatable<Argument>

public class SAFRankingReasoner
extends AbstractRankingReasoner<NumericalPartialOrder<Argument,DungTheory>>

This class implements the social abstract argumentation approach as proposed by [Bonzon, Delobelle, Konieczny, Maudet. A Comparative Study of Ranking-Based Semantics for Abstract Argumentation. AAAI 2016]. It uses social abstract argumentation frameworks and the simple product semantics which were introduced by [Leite, Martins. Social abstract argumentation. IJCAI 2011].

Author:

Anna Gessler

Constructor Summary

Constructors

Constructor	Description
SAFRankingReasoner()	Create a new SAFRankingReasoner with default parameters.
SAFRankingReasoner(double epsilon)	Create a new SAFRankingReasoner with the given epsilon for the SimpleProductSemantics.
SAFRankingReasoner(double epsilon, double tolerance)	Create a new SAFRankingReasoner with the given epsilon and the given tolerance for the SimpleProductSemantics.
SAFRankingReasoner(double epsilon, double precision, double tolerance)	Create a new SAFRankingReasoner with the given epsilon, the given precision and the given tolerance for the SimpleProductSemantics.

Method Summary

Modifier and Type	Method	Description
NumericalPartialOrder<Argument,DungTheory>	getModel(DungTheory kb)	Returns a single (dedicated) model of the given belief base.
Collection<NumericalPartialOrder<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

SAFRankingReasoner

public SAFRankingReasoner()

Create a new SAFRankingReasoner with default parameters.

SAFRankingReasoner

public SAFRankingReasoner(double epsilon)

Create a new SAFRankingReasoner with the given epsilon for the SimpleProductSemantics.

Parameters:

epsilon - must be non-negative

SAFRankingReasoner

public SAFRankingReasoner(double epsilon,
 double tolerance)

Create a new SAFRankingReasoner with the given epsilon and the given tolerance for the SimpleProductSemantics.

Parameters:

epsilon - must be non-negative

tolerance - the tolerance

SAFRankingReasoner

public SAFRankingReasoner(double epsilon,
 double precision,
 double tolerance)

Create a new SAFRankingReasoner with the given epsilon, the given precision and the given tolerance for the SimpleProductSemantics.

Parameters:

epsilon - must be non-negative

precision - the precision

tolerance - the tolerance

Method Details

getModels

public Collection<NumericalPartialOrder<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 NumericalPartialOrder<Argument,DungTheory> getModel(DungTheory kb)

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:

kb - some belief base

Returns:

a selected model of the belief base.

isInstalled

public boolean isInstalled()

natively installed

Specified by:

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

Returns:

is installed status