2018 • In Principles of Knowledge Representation and Reasoning: Proceedings of the Sixteenth International Conference, KR 2018, Tempe, Arizona 30 October - 2 November 2018.
[en] In this paper we introduce a new set of general principles for probabilistic abstract argumentation. The main principle is a probabilistic analogue of SCC decomposability, which ensures that the probabilistic evaluation of an argumentation framework complies with the probabilistic (in)dependencies implied by the graph topology. We introduce various examples of probabilistic semantics and determine which principles they satisfy. Our work also provides new insights into the relationship between abstract argumentation and the theory of Bayesian networks.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
Rienstra, Tjitze
Thimm, Matthias
LIAO, Beishui ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
VAN DER TORRE, Leon ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Probabilistic Abstract Argumentation Based on SCC Decomposability
Date de publication/diffusion :
2018
Nom de la manifestation :
Sixteenth International Conference on Principles of Knowledge Representation and Reasoning (KR 2018)
Date de la manifestation :
October 27 - November 2 2018
Titre de l'ouvrage principal :
Principles of Knowledge Representation and Reasoning: Proceedings of the Sixteenth International Conference, KR 2018, Tempe, Arizona 30 October - 2 November 2018.
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