Package org.tweetyproject.logics.mln.analysis

Class AbstractCoherenceMeasure

java.lang.Object

org.tweetyproject.logics.mln.analysis.AbstractCoherenceMeasure

All Implemented Interfaces:

Serializable

Direct Known Subclasses:

AggregatingCoherenceMeasure

public abstract class AbstractCoherenceMeasure
extends Object
implements Serializable

This class represents an abstract coherence measure, i.e. a function that measures the coherence of an MLN by comparing the probabilities for the MLN's formulas with the intended ones.

Author:

Matthias Thimm

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
AbstractCoherenceMeasure()	Default

Method Summary

Modifier and Type	Method	Description
abstract double	coherence(MarkovLogicNetwork mln, AbstractMlnReasoner reasoner, FolSignature signature)	Measures the coherence of the given MLN using the given reasoner.
abstract String	toString()

Methods inherited from class java.lang.Object

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

Constructor Details

AbstractCoherenceMeasure

public AbstractCoherenceMeasure()

Default

Method Details

coherence

public abstract double coherence(MarkovLogicNetwork mln,
 AbstractMlnReasoner reasoner,
 FolSignature signature)

Measures the coherence of the given MLN using the given reasoner.

Parameters:

mln - some MLN

reasoner - some reasoner

signature - a signature

Returns:

the coherence measure of the MLN.

toString

public abstract String toString()

Overrides:

toString in class Object