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Communication Dans Un Congrès Année : 2015

Argumentation-based Ranking Logics

Résumé

This paper proposes a novel family of argumentation-based logics for handling inconsistency. Starting with a base logic,it builds arguments and attack relations between them. The novelty of the approach lies in the fact that arguments are evaluated using a ranking semantics which rank-orders arguments from the most acceptable to the least acceptable ones. Naturally, a second novelty is that the conclusions to be drawn are ranked with regard to plausibility. We provide a couple of axioms that such logics should enjoy and illustrate the approach with a particular ranking semantics. We show that the new logics are more discriminating than existing argumentation-based logics. Moreover, they are good candidates for measuring inconsistency in knowledge bases.
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Dates et versions

hal-03092762 , version 1 (06-01-2021)

Identifiants

  • HAL Id : hal-03092762 , version 1
  • OATAO : 14950

Citer

Leila Amgoud, Jonathan Ben-Naim. Argumentation-based Ranking Logics. International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015), International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), May 2015, Istanbul, Turkey. pp.1511-1519. ⟨hal-03092762⟩
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