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Argumentation-based ranking logics

Amgoud, Leila and Ben-Naim, Jonathan Argumentation-based ranking logics. (2015) In: 14th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015), 4 May 2015 - 8 May 2015 (Istanbul, Turkey).

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This paper proposes a novel family of argumentation-based logics for handling inconsistency. Starting with a base logic,it builds arguments and attack relations between them. The novelty of the approach lies in the fact that arguments are evaluated using a ranking semantics which rank-orders arguments from the most acceptable to the least acceptable ones. Naturally, a second novelty is that the conclusions to be drawn are ranked with regard to plausibility. We provide a couple of axioms that such logics should enjoy and illustrate the approach with a particular ranking semantics. We show that the new logics are more discriminating than existing argumentation-based logics. Moreover, they are good candidates for measuring inconsistency in knowledge bases.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to ACM Digital Library. The definitive version is available at http://dl.acm.org This papers appears in AAMAS '15 Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems ISBN: 978-1-4503-3413-6. The original PDF of the article can be found at : http://dl.acm.org/citation.cfm?id=2773344
HAL Id:hal-01287737
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Deposited On:14 Mar 2016 09:51

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