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Rationalisation of Profiles of Abstract Argumentation Frameworks

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Date
2016-05
Notes
Best Paper Award
Dewey
Recherche opérationnelle
Sujet
Argumentation; Social Choice Theory
JEL code
C.C4.C44
Conference name
Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2016)
Conference date
05-2016
Conference city
Singapore
Conference country
Singapore
Book title
Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2016)
Author
Thangarajah, John; Tuyls, Karl; Jonker, Catholijn M.; Marsella, Stacy
Publisher
IFAAMAS
Year
2016
Pages number
1537
ISBN
978-1-4503-4239-1
URI
https://basepub.dauphine.fr/handle/123456789/15956
Collections
  • LAMSADE : Publications
Metadata
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Author
Airiau, Stéphane
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Bonzon, Elise
103372 Laboratoire d'Informatique Paris Descartes [LIPADE - EA 2517]
Endriss, Ulle
84550 Institute for Logic, Language and Computation [ILLC]
Maudet, Nicolas
233 Laboratoire d'Informatique de Paris 6 [LIP6]
Rossit, Julien
103372 Laboratoire d'Informatique Paris Descartes [LIPADE - EA 2517]
Type
Communication / Conférence
Item number of pages
350-357
Abstract (EN)
Different agents may have different points of view. This can be modelled using different abstract argumentation frameworks, each consisting of a set of arguments and a binary attack-relation between them. A question arising in this context is whether the diversity of views observed in such a profile of argumentation frameworks is consistent with the assumption that every individual argumentation framework is induced by a combination of, first, some basic factual attack-relation between the arguments and, second, the personal preferences of the agent concerned. We treat this question of rationalisability of a profile as an algorithmic problem and identify tractable and intractable cases. This is useful for understanding what types of profiles can reasonably be expected to come up in a multiagent system.

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