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Argumentation Semantics under a Claim-centric View: Properties, Expressiveness and Relation to SETAFs

Wolfgang Dvořák, Anna Rapberger, Stefan Woltran

202019 citationsDOIOpen Access PDF

Abstract

Claim-augmented argumentation frameworks (CAFs) constitute a generic formalism for conflict resolution of conclusion-oriented problems in argumentation. CAFs extend Dung argumentation frameworks (AFs) by assigning a claim to each argument. So far, semantics for CAFs are defined with respect to the underlying AF by interpreting the extensions of the respective AF semantics in terms of the claims of the accepted arguments; we refer to them as inherited semantics of CAFs.<br>A central concept of many argumentation semantics is maximization, which can be done with respect to arguments as in preferred semantics, or with respect to the range as in semi-stable semantics. However, common instantiations of argumentation frameworks require maximality on the claim-level and inherited semantics often fail to provide maximal claim-sets even if the underlying AF semantics yields maximal argument sets. To address this issue, we investigate a different approach and introduce claim-level semantics (cl-semantics) for CAFs where maximization is performed on the claim-level. We compare these two approaches for five prominent semantics (preferred, naive, stable, semi-stable, and stage) and relate in total eleven CAF semantics to each other. Moreover, we show that for a certain subclass of CAFs, namely well-formed CAFs, the different versions of preferred and stable semantics coincide, which is not the case for the remaining semantics. We furthermore investigate a recently established translation between well-formed CAFs and SETAFs and show that, in contrast to the inherited naive, semi-stable and stage semantics, the cl-semantics correspond to the respective SETAF semantics. Finally, we investigate the expressiveness of the considered semantics in terms of their signatures.

Topics & Concepts

Semantics (computer science)Argumentation theoryWell-founded semanticsComputer scienceArgumentation frameworkDenotational semanticsArgument (complex analysis)Operational semanticsNatural language processingArtificial intelligenceProgramming languageLinguisticsMedicinePhilosophyInternal medicineMulti-Agent Systems and NegotiationBusiness Process Modeling and AnalysisSemantic Web and Ontologies
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