Package org.tweetyproject.arg.rankings.reasoner

Class CategorizerRankingReasoner

java.lang.Object

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

org.tweetyproject.arg.rankings.reasoner.CategorizerRankingReasoner

All Implemented Interfaces:

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

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

This class implements the "h-categorizer" argument ranking approach that was originally proposed by [Besnard, Hunter. A logic-based theory of deductive arguments. 2001] for deductive logics. It uses the Fixed-point algorithm of [Pu, Zhang, Luo, Luo. Argument Ranking with Categoriser Function. KSEM 2014] which allows for cycles in argumentation graphs.

Author:

Anna Gessler

See Also:

• HCategorizer

Constructor Summary

Constructors

Constructor	Description
CategorizerRankingReasoner()	Create a new CountingRankingReasoner with default parameters.
CategorizerRankingReasoner(double epsilon)	Create a new CategorizerRankingReasoner with the given parameters.

Method Summary

Modifier and Type	Method	Description
NumericalPartialOrder<Argument,DungTheory>	getModel(DungTheory base)	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

CategorizerRankingReasoner

public CategorizerRankingReasoner()

Create a new CountingRankingReasoner with default parameters.

CategorizerRankingReasoner

public CategorizerRankingReasoner(double epsilon)

Create a new CategorizerRankingReasoner with the given parameters.

Parameters:

epsilon - TODO add description

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 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<NumericalPartialOrder<Argument,DungTheory>>

Returns:

is installed status