Package org.tweetyproject.arg.bipolar.analysis

Class ApproxAnalysis

java.lang.Object

org.tweetyproject.arg.bipolar.analysis.AbstractAnalysis

org.tweetyproject.arg.bipolar.analysis.ApproxAnalysis

All Implemented Interfaces:

Analysis, ProbabilisticJustificationAnalysis

public class ApproxAnalysis
extends AbstractAnalysis
implements ProbabilisticJustificationAnalysis

This class implements approximate probabilistic justification of a set of queries using Monte Carlo Sampling of induced EAFs from a PEAF. see Li, Hengfei. Probabilistic argumentation. 2015. PhD Thesis. Aberdeen University.

Author:

Taha Dogan Gunes

Constructor Summary

Constructors

Constructor	Description
ApproxAnalysis(PEAFTheory peafTheory, AbstractExtensionReasoner extensionReasoner, double errorLevel)	Creates an ApproxAnalysis object

Method Summary

Modifier and Type	Method	Description
AnalysisResult	query(Set<BArgument> args)	Computes approximately what is probabilistic justification of the given set of arguments in the PEAF given error level

Methods inherited from class org.tweetyproject.arg.bipolar.analysis.AbstractAnalysis

setPEAFTheory

Methods inherited from class java.lang.Object

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

Constructor Details

ApproxAnalysis

public ApproxAnalysis(PEAFTheory peafTheory,
 AbstractExtensionReasoner extensionReasoner,
 double errorLevel)

Creates an ApproxAnalysis object

Parameters:

peafTheory - The PEAFTheory object

extensionReasoner - An extension reasoner object

errorLevel - the error level in double

Method Details

query

public AnalysisResult query(Set<BArgument> args)

Computes approximately what is probabilistic justification of the given set of arguments in the PEAF given error level

Specified by:

query in interface Analysis

Parameters:

args - the set of arguments necessary for the query

Returns:

the result of the analysis