net.sf.tweety.logics.pl.util

Class RandomPlBeliefSetSampler

java.lang.Object

net.sf.tweety.commons.BeliefBaseSampler<PlBeliefSet>

net.sf.tweety.logics.pl.util.RandomPlBeliefSetSampler

public class RandomPlBeliefSetSampler
extends net.sf.tweety.commons.BeliefBaseSampler<PlBeliefSet>

This sampler generates random belief sets by selecting, for each formula a random set of possible worlds as its models.

Author:

Matthias Thimm

Field Summary

Fields inherited from class net.sf.tweety.commons.BeliefBaseSampler

DEFAULT_MAXIMUM_BELIEFBASE_LENGTH, DEFAULT_MINIMUM_BELIEFBASE_LENGTH

Constructor Summary

Constructors

Constructor and Description
RandomPlBeliefSetSampler(net.sf.tweety.commons.Signature signature, double worldProb) Creates a new sampler for the given signature

Method Summary

Modifier and Type	Method and Description
PlBeliefSet	randomSample(int minLength, int maxLength)

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

getSignature, randomSample, randomSample

Methods inherited from class java.lang.Object

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

Constructor Detail

RandomPlBeliefSetSampler

public RandomPlBeliefSetSampler(net.sf.tweety.commons.Signature signature,
                                double worldProb)

Creates a new sampler for the given signature

Parameters:

signature - some signature

worldProb - Probability of selecting any world as a model of a formula

Method Detail

randomSample

public PlBeliefSet randomSample(int minLength,
                                int maxLength)

Specified by:

randomSample in class net.sf.tweety.commons.BeliefBaseSampler<PlBeliefSet>