Class AbstractConditionalLogicReasoner
java.lang.Object
org.tweetyproject.logics.cl.reasoner.AbstractConditionalLogicReasoner
- All Implemented Interfaces:
ModelProvider<Conditional,ClBeliefSet,RankingFunction>,QualitativeReasoner<ClBeliefSet,PlFormula>,Reasoner<Boolean,ClBeliefSet,PlFormula>
- Direct Known Subclasses:
CReasoner,RuleBasedCReasoner,SimpleCReasoner,ZReasoner
public abstract class AbstractConditionalLogicReasoner
extends Object
implements QualitativeReasoner<ClBeliefSet,PlFormula>, ModelProvider<Conditional,ClBeliefSet,RankingFunction>
Abstract ancestor for all reasoner for conditional logic.
- Author:
- Matthias Thimm
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionabstract RankingFunctiongetModel(ClBeliefSet bbase)Returns a single (dedicated) model of the given belief base.getModels(ClBeliefSet bbase)Returns a characterizing model of the given belief basequery(ClBeliefSet beliefbase, PlFormula formula)Queries the given belief base for the given formula.
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Constructor Details
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AbstractConditionalLogicReasoner
public AbstractConditionalLogicReasoner()
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Method Details
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query
Description copied from interface:ReasonerQueries the given belief base for the given formula.- Specified by:
queryin interfaceQualitativeReasoner<ClBeliefSet,PlFormula>- Specified by:
queryin interfaceReasoner<Boolean,ClBeliefSet,PlFormula>- Parameters:
beliefbase- a belief baseformula- a formula- Returns:
- the answer to the query
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getModels
Description copied from interface:ModelProviderReturns a characterizing model of the given belief base- Specified by:
getModelsin interfaceModelProvider<Conditional,ClBeliefSet,RankingFunction>- Parameters:
bbase- some belief base- Returns:
- the (selected) models of the belief base
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getModel
Description copied from interface:ModelProviderReturns 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:
getModelin interfaceModelProvider<Conditional,ClBeliefSet,RankingFunction>- Parameters:
bbase- some belief base- Returns:
- a selected model of the belief base.
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