Package net.sf.tweety.logics.pcl.reasoner

Class DefaultMeReasoner

java.lang.Object

net.sf.tweety.logics.pcl.reasoner.AbstractPclReasoner

net.sf.tweety.logics.pcl.reasoner.DefaultMeReasoner

All Implemented Interfaces:

ModelProvider<ProbabilisticConditional,PclBeliefSet,ProbabilityDistribution<PossibleWorld>>, QuantitativeReasoner<PclBeliefSet,PlFormula>, Reasoner<java.lang.Double,PclBeliefSet,PlFormula>

public class DefaultMeReasoner
extends AbstractPclReasoner

This class implements a maximum entropy reasoner for probabilistic conditional logic. This means, it computes the ME-distribution for the given belief set and answers queries with respect to this ME-distribution.

Author:

Matthias Thimm

Constructor Summary

Constructors

Constructor	Description
DefaultMeReasoner(OptimizationRootFinder rootFinder)

Method Summary

Modifier and Type	Method	Description
ProbabilityDistribution<PossibleWorld>	getModel(PclBeliefSet beliefbase)	Returns a single (dedicated) model of the given belief base.
ProbabilityDistribution<PossibleWorld>	getModel(PclBeliefSet bs, PlSignature signature)	Computes the ME-distribution this reasoner bases on.
java.util.Collection<ProbabilityDistribution<PossibleWorld>>	getModels(PclBeliefSet bbase)	Returns a characterizing model of the given belief base
java.lang.Double	query(PclBeliefSet beliefbase, PlFormula formula)	Queries the given belief base for the given formula.

Methods inherited from class java.lang.Object

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

Constructor Detail

DefaultMeReasoner

public DefaultMeReasoner(OptimizationRootFinder rootFinder)

Method Detail

query

public java.lang.Double query(PclBeliefSet beliefbase,
                              PlFormula formula)

Description copied from interface: Reasoner

Queries the given belief base for the given formula.

Specified by:

query in interface Reasoner<java.lang.Double,PclBeliefSet,PlFormula>

Specified by:

query in class AbstractPclReasoner

Parameters:

beliefbase - a belief base

formula - a formula

Returns:

the answer to the query

getModels

public java.util.Collection<ProbabilityDistribution<PossibleWorld>> getModels(PclBeliefSet bbase)

Description copied from interface: ModelProvider

Returns a characterizing model of the given belief base

Specified by:

getModels in interface ModelProvider<ProbabilisticConditional,PclBeliefSet,ProbabilityDistribution<PossibleWorld>>

Specified by:

getModels in class AbstractPclReasoner

Parameters:

bbase - some belief base

Returns:

the (selected) models of the belief base

getModel

public ProbabilityDistribution<PossibleWorld> getModel(PclBeliefSet beliefbase)

Description copied from interface: ModelProvider

Returns a single (dedicated) model of the given belief base. If the implemented method allows for more than one dedicated model, the selection may be non-deterministic.

Specified by:

getModel in interface ModelProvider<ProbabilisticConditional,PclBeliefSet,ProbabilityDistribution<PossibleWorld>>

Specified by:

getModel in class AbstractPclReasoner

Parameters:

beliefbase - some belief base

Returns:

a selected model of the belief base.

getModel

public ProbabilityDistribution<PossibleWorld> getModel(PclBeliefSet bs,
                                                       PlSignature signature)

Computes the ME-distribution this reasoner bases on.

Parameters:

bs - the belief set

signature - the signature

Returns:

the ME-distribution this reasoner bases on.