Class SimpleCoalitionReasoner
java.lang.Object
org.tweetyproject.arg.bipolar.reasoner.AbstractBipolarExtensionReasoner
org.tweetyproject.arg.bipolar.reasoner.SimpleCoalitionReasoner
- All Implemented Interfaces:
ModelProvider<Argument,,BipolarArgumentationFramework, Extension<BipolarArgumentationFramework>> PostulateEvaluatable<Argument>,QualitativeReasoner<BipolarArgumentationFramework,,Argument> Reasoner<Boolean,BipolarArgumentationFramework, Argument>
Reasoner for bipolar argumentation frameworks based on the coalition approach.
A coalition is defined as a maximal set of arguments that is conflict-free and connected via the support relation.
- Author:
- Lars Bengel
- See Also:
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- "Cayrol, C. and M.-C. Lagasquie-Schiex. 'Coalitions of arguments: a tool for handling bipolar argumentation frameworks'. International Journal of Intelligent Systems, 25(1):83–109, 2010."
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Constructor Summary
ConstructorsConstructorDescriptionSimpleCoalitionReasoner(Semantics semantics) Initializes a new coalition reasoner for the given semantics -
Method Summary
Modifier and TypeMethodDescriptionReturns a single (dedicated) model of the given belief base.Returns a characterizing model of the given belief baseMethods inherited from class org.tweetyproject.arg.bipolar.reasoner.AbstractBipolarExtensionReasoner
getSimpleReasonerForSemantics, isInstalled, query, query, queryAll
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Constructor Details
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SimpleCoalitionReasoner
Initializes a new coalition reasoner for the given semantics- Parameters:
semantics- some semantics
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Method Details
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getModels
public Collection<Extension<BipolarArgumentationFramework>> getModels(BipolarArgumentationFramework bbase) Description copied from interface:ModelProviderReturns a characterizing model of the given belief base- 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.- Parameters:
bbase- some belief base- Returns:
- a selected model of the belief base.
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