A Comparative Study of Ranking-based Semantics for Abstract Argumentation

Elise Bonzon 1 Jérôme Delobelle 2 Sébastien Konieczny 2 Nicolas Maudet 3
1 LIPADE - EA 2517 - Laboratoire d'Informatique Paris Descartes
2 CRIL - Centre de Recherche en Informatique de Lens
3 SMA - Systèmes Multi-Agents
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : Argumentation is a process of evaluating and comparing a set of arguments. A way to compare them consists in using a ranking-based semantics which rank-order arguments from the most to the least acceptable ones. Recently, a number of such semantics have been proposed independently, often associated with some desirable properties. However, there is no comparative study which takes a broader perspective. This is what we propose in this work. We provide a general comparison of all these semantics with respect to the proposed properties. That allows to underline the differences of behavior between the existing semantics.
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https://hal.archives-ouvertes.fr/hal-01263996
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Submitted on : Friday, January 29, 2016 - 4:49:21 PM
Last modification on : Tuesday, December 3, 2019 - 7:48:09 PM
Long-term archiving on : Friday, November 11, 2016 - 6:35:06 PM

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  • HAL Id : hal-01263996, version 1
  • ARXIV : 1602.01059

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CNRS | UNIV-ARTOIS | UPMC | LIP6 | UNIV-PARIS5 | LIPADE | USPC | SORBONNE-UNIVERSITE | SU-SCIENCES

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Elise Bonzon, Jérôme Delobelle, Sébastien Konieczny, Nicolas Maudet. A Comparative Study of Ranking-based Semantics for Abstract Argumentation. 30th AAAI Conference on Artificial Intelligence (AAAI-2016), Feb 2016, Phoenix, United States. ⟨hal-01263996⟩

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