Article (Scientific journals)
Modelling defeasible and prioritized support in bipolar argumentation
Villata, Serena; Boella, Guido; Gabbay, Dov M. et al.
2012In Annals of Mathematics & Artificial Intelligence, 66 (1-4), p. 163-197
Peer reviewed
 

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Keywords :
Defeasible support Deductive support Prioritized support Modelling
Abstract :
[en] Cayrol and Lagasquie-Schiex introduce bipolar argumentation frameworks by introducing a second relation on the arguments for representing the support among them. The main drawback of their approach is that they cannot encode defeasible support, for instance they cannot model an attack towards a support relation. In this paper, we introduce a way to model defeasible support in bipolar argumentation frameworks. We use the methodology of meta-argumentation in which Dung’s theory is used to reason about itself. Dung’s well-known admissibility semantics can be used on this meta-argumentation framework to compute the acceptable arguments, and all properties of Dung’s classical theory are preserved. Moreover, we show how different contexts can lead to the alternative strengthening of the support relation over the attack relation, and converse. Finally, we present two applications of our methodology for modeling support, the case of arguments provided with an internal structure and the case of abstract dialectical frameworks.
Disciplines :
Computer science
Identifiers :
UNILU:UL-ARTICLE-2012-1272
Author, co-author :
Villata, Serena
Boella, Guido
Gabbay, Dov M. 
van der Torre, Leon ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
yes
Language :
English
Title :
Modelling defeasible and prioritized support in bipolar argumentation
Publication date :
2012
Journal title :
Annals of Mathematics & Artificial Intelligence
ISSN :
1012-2443
Publisher :
Springer Science & Business Media B.V.
Volume :
66
Issue :
1-4
Pages :
163-197
Peer reviewed :
Peer reviewed
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since 09 January 2014

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