Viewpoints using ranking-based argumentation semantics

Bruno Yun 1 Madalina Croitoru 1 Pierre Bisquert 2
1 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : To address the needs of the EU NoAW project, in this paper we introduce a new modular framework that generates viewpoints (i.e. extensions) based on ranking argumentation semantics by considering a selection function, a ranking on arguments and a lifting function as its input parameters. We study the different combinations of the input parameters and introduce a set of postulates investigated for the framework's different classes of output.
Type de document :
Communication dans un congrès
COMMA: Conference on Computational Models of Argument, Sep 2018, Varsovie, Poland. 7th International Conference on Computational Models of Argument, 305, pp.381-392, 2018, Frontiers in Artificial Intelligence and Applications. 〈http://comma2018.argdiap.pl/〉. 〈10.3233/978-1-61499-906-5-381〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01892709
Contributeur : Bruno Yun <>
Soumis le : mercredi 10 octobre 2018 - 18:25:57
Dernière modification le : mercredi 13 février 2019 - 16:32:01

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Bruno Yun, Madalina Croitoru, Pierre Bisquert. Viewpoints using ranking-based argumentation semantics. COMMA: Conference on Computational Models of Argument, Sep 2018, Varsovie, Poland. 7th International Conference on Computational Models of Argument, 305, pp.381-392, 2018, Frontiers in Artificial Intelligence and Applications. 〈http://comma2018.argdiap.pl/〉. 〈10.3233/978-1-61499-906-5-381〉. 〈lirmm-01892709〉

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