Package org.tweetyproject.logics.pcl.analysis

Class BalancedMachineShop

java.lang.Object

org.tweetyproject.logics.pcl.analysis.BalancedMachineShop

All Implemented Interfaces:

BeliefBaseMachineShop

public class BalancedMachineShop
extends Object
implements BeliefBaseMachineShop

This class implements a consistency restorer using balanced distance minimization, see [Diss, Thimm] for details.

Author:

Matthias Thimm

Field Summary

Fields

Modifier and Type	Field	Description
static final double	PRECISIONCULP	The precision for comparing culpability values.
static final double	PRECISIONOPT	The precision for comparing culpability values.

Constructor Summary

Constructors

Constructor	Description
BalancedMachineShop(CulpabilityMeasure<ProbabilisticConditional,PclBeliefSet> culpabilityMeasure)	Constructor
BalancedMachineShop(OptimizationRootFinder rootFinder)	Constructor

Method Summary

Modifier and Type	Method	Description
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

Field Details

PRECISIONCULP

public static final double PRECISIONCULP

The precision for comparing culpability values.

See Also:

• Constant Field Values

PRECISIONOPT

public static final double PRECISIONOPT

The precision for comparing culpability values.

See Also:

• Constant Field Values

Constructor Details

BalancedMachineShop

public BalancedMachineShop(OptimizationRootFinder rootFinder)

Constructor

Parameters:

rootFinder - the rrot finder

BalancedMachineShop

public BalancedMachineShop(CulpabilityMeasure<ProbabilisticConditional,PclBeliefSet> culpabilityMeasure)

Constructor

Parameters:

culpabilityMeasure - the culpabilityMeasure

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.