net.sf.tweety.logics.mln.analysis

Class AbstractCoherenceMeasure

java.lang.Object

net.sf.tweety.logics.mln.analysis.AbstractCoherenceMeasure

All Implemented Interfaces:

java.io.Serializable

Direct Known Subclasses:

AggregatingCoherenceMeasure

public abstract class AbstractCoherenceMeasure
extends java.lang.Object
implements java.io.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

Field Summary

Fields

Modifier and Type	Field and Description
private static long	serialVersionUID

Constructor Summary

Constructors

Constructor and Description
AbstractCoherenceMeasure()

Method Summary

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

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

serialVersionUID

private static final long serialVersionUID

See Also:

Constant Field Values

Constructor Detail

AbstractCoherenceMeasure

public AbstractCoherenceMeasure()

Method Detail

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 java.lang.String toString()

Overrides:

toString in class java.lang.Object