Weak Argumentation Semantics and Unsafe Odd Cycles: Results and a Conjecture

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Logics in Artificial Intelligence (JELIA 2023)

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Abstract

Some semantics for argumentation, including the newly introduced weakly admissible semantics, allow us to ignore attacks from arguments that are perceived as problematic. A key intuition motivating such semantics is that arguments that indirectly attack themselves may be problematic in such a way that this is justified. In this paper, we formalise this intuition and provide a class of semantics that are weakly admissible, coincide with the stable semantics on a large class of argumentation frameworks that admit stable sets, and only ignore attacks from arguments on unsafe cycles of odd length. We also show that no member of our class of semantics coincide with the semantics that takes all \(\subseteq \)-maximal weakly admissible sets as extensions. However, we show that this semantics satisfies an even stronger property, if the following conjecture is true: if an argumentation framework has no non-empty weakly admissible sets, then every argument lies on an unsafe odd cycle.

Thanks to the anonymous reviewers for pointing out some relevant references and making suggestions that greatly improved the presentation of the paper.

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Notes

  1. 1.

    The notion of a perfect extension could be made more general by explicitly taking the principle that is perfectly extended as a parameter, defining an AF to be perfectly X if all induced subdigraphs of the AF has an extension satisfying X. Then we could say that a semantics perfectly extends X, or that it satisfies the perfect extension principle for X, whenever it satisfies X for all AFs that are perfectly X. However, we only consider perfect extensions of the stable semantics in this paper, so we prefer to avoid the additional notation and terminology that the generalisation entails.

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Dyrkolbotn, S.K. (2023). Weak Argumentation Semantics and Unsafe Odd Cycles: Results and a Conjecture. In: Gaggl, S., Martinez, M.V., Ortiz, M. (eds) Logics in Artificial Intelligence. JELIA 2023. Lecture Notes in Computer Science(), vol 14281. Springer, Cham. https://doi.org/10.1007/978-3-031-43619-2_12

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  • DOI: https://doi.org/10.1007/978-3-031-43619-2_12

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