CategorizerRankingReasoner

java.lang.Object
- org.tweetyproject.arg.rankings.reasoner.AbstractRankingReasoner<NumericalArgumentRanking>
- - org.tweetyproject.arg.rankings.reasoner.CategorizerRankingReasoner

All Implemented Interfaces:

ModelProvider<Argument,DungTheory,NumericalArgumentRanking>, PostulateEvaluatable<Argument>
```
public class CategorizerRankingReasoner
extends AbstractRankingReasoner<NumericalArgumentRanking>
```
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
`NumericalArgumentRanking`	`getModel(DungTheory base)`	Returns a single (dedicated) model of the given belief base.
`java.util.Collection<NumericalArgumentRanking>`	`getModels(DungTheory bbase)`	Returns a characterizing model of the given belief base

Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - 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 Detail
  - getModels
```
public java.util.Collection<NumericalArgumentRanking> 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 NumericalArgumentRanking 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.