Package org.tweetyproject.logics.pcl.analysis

Class MaximumEntropyMachineShop

java.lang.Object

org.tweetyproject.logics.pcl.analysis.MaximumEntropyMachineShop

All Implemented Interfaces:

BeliefBaseMachineShop

public class MaximumEntropyMachineShop
extends Object
implements BeliefBaseMachineShop

This consistency restorer uses the idea of the upper approximative distance minimization inconsistency measure to compute a ME-probability distribution and adjust the probabilities of the conditionals accordingly.

Author:

Matthias Thimm

Constructor Summary

Constructors

Constructor	Description
MaximumEntropyMachineShop(OptimizationRootFinder rootFinder)	Constructor

Method Summary

Modifier and Type	Method	Description
static void	main(String[] args)	Example
BeliefBase	repair(BeliefBase beliefBase)	Repairs the given belief base, i.e.

Methods inherited from class java.lang.Object

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

Constructor Details

MaximumEntropyMachineShop

public MaximumEntropyMachineShop(OptimizationRootFinder rootFinder)

Constructor

Parameters:

rootFinder - the rootfinder

Method Details

repair

public BeliefBase repair(BeliefBase beliefBase)

Description copied from interface: BeliefBaseMachineShop

Repairs the given belief base, i.e. restores consistency.

Specified by:

repair in interface BeliefBaseMachineShop

Parameters:

beliefBase - a possibly inconsistent belief base.

Returns:

a consistent belief base that is as close as possible to the given belief base. NOTE: if the given belief base is consistent this method is expected to return it unmodified.

main

public static void main(String[] args)
                 throws FileNotFoundException,
ParserException,
IOException,
GeneralMathException

Example

Parameters:

args - the args

Throws:

FileNotFoundException - error

ParserException - error

IOException - error

GeneralMathException - error