On the merging of Dung's argumentation systems
Autor: | Pierre Marquis, Caroline Devred, Sylvie Coste-Marquis, Sébastien Konieczny, Marie-Christine Lagasquie-Schiex |
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Přispěvatelé: | Centre de Recherche en Informatique de Lens (CRIL), Université d'Artois (UA)-Centre National de la Recherche Scientifique (CNRS), Argumentation, Décision, Raisonnement, Incertitude et Apprentissage (IRIT-ADRIA), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées |
Jazyk: | angličtina |
Předmět: |
Linguistics and Language
Theoretical computer science Process (engineering) media_common.quotation_subject 0102 computer and information sciences 02 engineering and technology Argument in agent system 01 natural sciences Language and Linguistics Argumentation theory [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] Set (abstract data type) Simple (abstract algebra) Artificial Intelligence Voting Conflict resolution 0202 electrical engineering electronic engineering information engineering ComputingMilieux_MISCELLANEOUS media_common Mathematics business.industry Group (mathematics) 16. Peace & justice Probabilistic argumentation 010201 computation theory & mathematics Argumentation frameworks 020201 artificial intelligence & image processing Artificial intelligence business |
Zdroj: | Artificial Intelligence Journal(AIJ) Artificial Intelligence Journal(AIJ), 2007, 171, pp.730-753 HAL |
ISSN: | 0004-3702 |
DOI: | 10.1016/j.artint.2007.04.012 |
Popis: | In this paper, the problem of deriving sensible information from a collection of argumentation systems coming from different agents is addressed. The underlying argumentation theory is Dung's one: each argumentation system gives both a set of arguments and the way they interact (i.e., attack or non-attack) according to the corresponding agent. The inadequacy of the simple, yet appealing, method which consists in voting on the agents' selected extensions calls for a new approach. To this purpose, a general framework for merging argumentation systems from Dung's theory of argumentation is presented. The objective is achieved through a three-step process: first, each argumentation system is expanded into a partial system over the set of all arguments considered by the group of agents (reflecting that some agents may easily ignore arguments pointed out by other agents, as well as how such arguments interact with her own ones); then, merging is used on the expanded systems as a way to solve the possible conflicts between them, and a set of argumentation systems which are as close as possible to the whole profile is generated; finally, voting is used on the selected extensions of the resulting systems so as to characterize the acceptable arguments at the group level. |
Databáze: | OpenAIRE |
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