Package org.tweetyproject.arg.setaf.reasoners

Class SimpleGroundedSetAfReasoner

java.lang.Object

org.tweetyproject.arg.setaf.reasoners.AbstractSetAfReasoner

org.tweetyproject.arg.setaf.reasoners.AbstractExtensionSetAfReasoner

org.tweetyproject.arg.setaf.reasoners.SimpleGroundedSetAfReasoner

All Implemented Interfaces:

ModelProvider<Argument,SetAf,Extension<SetAf>>, PostulateEvaluatable<Argument>, QualitativeReasoner<SetAf,Argument>, Reasoner<Boolean,SetAf,Argument>

public class SimpleGroundedSetAfReasoner
extends AbstractExtensionSetAfReasoner

This reasoner for SetAf theories performs inference on the grounded extension. Computes the (unique) grounded extension, i.e., the least fixpoint of the characteristic function faf.

Author:

Matthias Thimm, Sebastian Franke

Constructor Summary

Constructors

Constructor	Description
SimpleGroundedSetAfReasoner()	Default

Method Summary

Modifier and Type	Method	Description
Extension<SetAf>	getModel(SetAf bbase)	Returns a single (dedicated) model of the given belief base.
Collection<Extension<SetAf>>	getModels(SetAf bbase)	Returns a characterizing model of the given belief base
boolean	isInstalled()	Checks whether the underlying solver or reasoning mechanism used by this reasoner is installed and available for use.

Methods inherited from class org.tweetyproject.arg.setaf.reasoners.AbstractExtensionSetAfReasoner

getSimpleReasonerForSemantics, query, query

Methods inherited from class java.lang.Object

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

Constructor Details

SimpleGroundedSetAfReasoner

public SimpleGroundedSetAfReasoner()

Default

Method Details

getModels

public Collection<Extension<SetAf>> getModels(SetAf bbase)

Description copied from interface: ModelProvider

Returns a characterizing model of the given belief base

Parameters:

bbase - some belief base

Returns:

the (selected) models of the belief base

getModel

public Extension<SetAf> getModel(SetAf bbase)

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.

Parameters:

bbase - some belief base

Returns:

a selected model of the belief base.

isInstalled

public boolean isInstalled()

Description copied from interface: QualitativeReasoner

Checks whether the underlying solver or reasoning mechanism used by this reasoner is installed and available for use. This can be helpful when the reasoner depends on external tools or libraries for performing the reasoning tasks.

Returns:

`true` if the solver is installed and available, `false` otherwise.