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Coalitional games for abstract argumentation

Bonzon, Elise; Maudet, Nicolas; Moretti, Stefano (2014), Coalitional games for abstract argumentation, in Parsons, Simon; Oren, Nir; Reed, Chris; Cerutti, Federico, Computational Models of Argument – Proceedings of COMMA 2014, Ios Press, p. 161-172. 10.3233/978-1-61499-436-7-161

Type
Communication / Conférence
Date
2014
Conference title
Fifth International Conference on Computational Models of Argument
Conference date
2014-09
Conference city
Scottish Highlands
Conference country
United Kingdom
Book title
Computational Models of Argument – Proceedings of COMMA 2014
Book author
Parsons, Simon; Oren, Nir; Reed, Chris; Cerutti, Federico
Publisher
Ios Press
ISBN
978-1-61499-435-0
Number of pages
486
Pages
161-172
Publication identifier
10.3233/978-1-61499-436-7-161
Metadata
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Author(s)
Bonzon, Elise
Laboratoire d'Informatique Paris Descartes [LIPADE - EA 2517]
Maudet, Nicolas cc
Laboratoire d'Informatique de Paris 6 [LIP6]
Moretti, Stefano cc
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Abstract (EN)
In this work we address the issue of the uncertainty faced by a user participating in multiagent debate. We propose a way to compute the relative relevance of arguments for such a user, by merging the classical argumentation framework proposed in [5] into a game theoretic coalitional setting, where the worth of a collection of arguments (opinions) can be seen as the combination of the information concerning the defeat relation and the preferences over arguments of a “user”. Via a property-driven approach, we show that the Shapley value [15] for coalitional games defined over an argumentation framework, can be applied to resume all the information about the worth of opinions into an attribution of relevance for the single arguments. We also prove that, for a large family of (coalitional) argumentation frameworks, the Shapley value can be easily computed.
Subjects / Keywords
argumentation; coalitional games; multiagent systems
JEL
C70 - General

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