Class SemiQualifiedReasoner

java.lang.Object
org.tweetyproject.arg.dung.reasoner.AbstractDungReasoner
org.tweetyproject.arg.dung.reasoner.AbstractExtensionReasoner
org.tweetyproject.arg.dung.reasoner.SemiQualifiedReasoner
All Implemented Interfaces:
ModelProvider<Argument,DungTheory,Extension<DungTheory>>, PostulateEvaluatable<Argument>, QualitativeReasoner<DungTheory,Argument>, Reasoner<Boolean,DungTheory,Argument>
public class SemiQualifiedReasoner extends AbstractExtensionReasoner
Reasoner for semi-qualified sigma-semantics. If sigma is a scc-decomposable semantics this reasoner will compute the qualified extensions for the semantics. Under qualified semantics an UNDECIDED argument x is treated as OUT iff there are no other possible labelings where x is IN. This means an argument y attacked by x and in a different scc can still be IN iff x is UNDECIDED or OUT in all possible labelings.
Author:
Lars Bengel
See Also:
  • "Jeremie Dauphin, Tjitze Rienstra, and Leendert Van Der Torre. 'A principle-based analysis of weakly admissible semantics', Proceedings of COMMA'20, (2020)"

  • Constructor Details

    • SemiQualifiedReasoner

      public SemiQualifiedReasoner(Semantics semantics)
      initialize reasoner with the given semantics as base function. Will only produce meaningful results if the given semantics is SCC-decomposable
      Parameters:
      semantics - a scc-decomposable semantics

  • Method Details

    • getModels

      public Collection<Extension<DungTheory>> getModels(DungTheory 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<DungTheory> getModel(DungTheory 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.