On the merging of Dung's argumentation systems

Autor: Pierre Marquis, Caroline Devred, Sylvie Coste-Marquis, Sébastien Konieczny, Marie-Christine Lagasquie-Schiex
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