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Conference Papers Year : 2020

Ranking-Based Semantics for Sets of Attacking Arguments

Bruno Yun
Srdjan Vesic
Madalina Croitoru

Abstract

Argumentation is a process of evaluating and comparing sets of arguments. Ranking-based semantics received a lot of attention recently. All of the semantics introduced so far are applicable to binary attack relations. In this paper, we study a more general case when sets of arguments can jointly attack an argument. We generalise existing postulates for ranking-based semantics to fit this framework, define a general variant of h-categoriser, prove that it converges for every argumentation framework and study the postulates it satisfies. We also study the link between binary and hypergraph version of h-categoriser.
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Dates and versions

lirmm-02374712 , version 1 (21-11-2019)

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Bruno Yun, Srdjan Vesic, Madalina Croitoru. Ranking-Based Semantics for Sets of Attacking Arguments. AAAI 2020 - 34th AAAI Conference on Artificial Intelligence, Feb 2020, New York, United States. pp.3033-3040, ⟨10.1609/aaai.v34i03.5697⟩. ⟨lirmm-02374712⟩
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