Class AbstractPclReasoner

java.lang.Object

org.tweetyproject.logics.pcl.reasoner.AbstractPclReasoner

All Implemented Interfaces:

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

Direct Known Subclasses:

DefaultMeReasoner, GeneralizedMeReasoner

public abstract class AbstractPclReasoner
extends Object
implements QuantitativeReasoner<PclBeliefSet, PlFormula>, ModelProvider<ProbabilisticConditional, PclBeliefSet, ProbabilityDistribution<PossibleWorld>>

Abstract class for all PCL reasoners.

Author:

Matthias Thimm

Constructor Summary

Constructors

Constructor	Description
AbstractPclReasoner()	Default Constructor

Method Summary

Modifier and Type	Method	Description
abstract ProbabilityDistribution<PossibleWorld>	getModel(PclBeliefSet beliefbase)	Returns a single (dedicated) model of the given belief base.
abstract Collection<ProbabilityDistribution<PossibleWorld>>	getModels(PclBeliefSet bbase)	Returns a characterizing model of the given belief base
abstract 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

Methods inherited from interface org.tweetyproject.commons.QuantitativeReasoner

isInstalled

Constructor Details

AbstractPclReasoner

public AbstractPclReasoner()

Default Constructor

Method Details

query

public abstract 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<Double, PclBeliefSet, PlFormula>

Parameters:

beliefbase - a belief base

formula - a formula

Returns:

the answer to the query

getModels

public abstract 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>>

Parameters:

bbase - some belief base

Returns:

the (selected) models of the belief base

getModel

public abstract 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>>

Parameters:

beliefbase - some belief base

Returns:

a selected model of the belief base.