net.sf.tweety.logics.ml

Class MarkovLogicNetwork

java.lang.Object

net.sf.tweety.commons.BeliefSet<MlnFormula>

net.sf.tweety.logics.ml.MarkovLogicNetwork

All Implemented Interfaces:

Serializable, Iterable<MlnFormula>, Collection<MlnFormula>, net.sf.tweety.commons.BeliefBase

public class MarkovLogicNetwork
extends net.sf.tweety.commons.BeliefSet<MlnFormula>
implements Serializable

Instances of this class represent Markov Logic Networks [Domingos et. al.].

Author:

Matthias Thimm

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
MarkovLogicNetwork() Creates a new (empty) MLN.
MarkovLogicNetwork(Collection<? extends MlnFormula> formulas) Creates a new conditional MLN with the given collection of MLN formulas.

Method Summary

Modifier and Type	Method and Description
net.sf.tweety.commons.Signature	getSignature()

Methods inherited from class net.sf.tweety.commons.BeliefSet

add, addAll, clear, contains, containsAll, equals, hashCode, instantiateSet, isEmpty, iterator, remove, removeAll, retainAll, size, toArray, toArray, toString

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface java.util.Collection

parallelStream, removeIf, spliterator, stream

Methods inherited from interface java.lang.Iterable

forEach

Constructor Detail

MarkovLogicNetwork

public MarkovLogicNetwork()

Creates a new (empty) MLN.

MarkovLogicNetwork

public MarkovLogicNetwork(Collection<? extends MlnFormula> formulas)

Creates a new conditional MLN with the given collection of MLN formulas.

Parameters:

formulas - a collection of MLN formulas.

Method Detail

getSignature

public net.sf.tweety.commons.Signature getSignature()

Specified by:

getSignature in interface net.sf.tweety.commons.BeliefBase

Specified by:

getSignature in class net.sf.tweety.commons.BeliefSet<MlnFormula>