net.sf.tweety.logics.pcl.analysis

Interface SignedCulpabilityMeasure

All Superinterfaces:

CulpabilityMeasure<ProbabilisticConditional,PclBeliefSet>

All Known Implementing Classes:

MeanDistanceCulpabilityMeasure

public interface SignedCulpabilityMeasure
extends CulpabilityMeasure<ProbabilisticConditional,PclBeliefSet>

Classes implementing this interface represent signed culpability measures, i.e. measures that assign to each conditional of a conditional belief base a degree of responsibility for causing an inconsistency and additionally a sign of this culpability, i.e. a direction to which this conditional deviates.

Author:

Matthias Thimm

Method Summary

Modifier and Type	Method and Description
java.lang.Double	culpabilityMeasure(PclBeliefSet beliefSet, ProbabilisticConditional conditional) Returns the degree of responsibility of the given formula to cause inconsistency in the given belief set (NOTE: the formula should be in the given belief set).
java.lang.Double	sign(PclBeliefSet beliefSet, ProbabilisticConditional conditional) Determines the sign of the culpability of the given conditional in the given belief set, i.e.

Method Detail

culpabilityMeasure

java.lang.Double culpabilityMeasure(PclBeliefSet beliefSet,
                                    ProbabilisticConditional conditional)

Description copied from interface: CulpabilityMeasure

Returns the degree of responsibility of the given formula to cause inconsistency in the given belief set (NOTE: the formula should be in the given belief set).

Specified by:

culpabilityMeasure in interface CulpabilityMeasure<ProbabilisticConditional,PclBeliefSet>

Parameters:

beliefSet - a belief set.

Returns:

a Double indicating the degree of inconsistency (NOTE: if the given formula does not appear in the given belief set the degree is defined to be zero).

sign

java.lang.Double sign(PclBeliefSet beliefSet,
                      ProbabilisticConditional conditional)

Determines the sign of the culpability of the given conditional in the given belief set, i.e. one of {-1,0,1}.

Parameters:

beliefSet - a belief set

conditional - a conditional

Returns:

one of {-1,0,1}