Paper published in a book (Scientific congresses, symposiums and conference proceedings)
Preference in Abstract Argumentation
Kaci, Souhila; van der Torre, Leon; Villata, Serena
2018In Computational Models of Argument
Peer reviewed
 

Files


Full Text
COMMA2018.pdf
Author preprint (125.64 kB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
Formal argumentation; abstract argumentation; preference; axiomatic approach; principle-based approach
Abstract :
[en] Consider an argument A that is attacked by an argument B, while A is preferred to B. Existing approaches will either ignore the attack or reverse it. In this paper we introduce a new reduction of preference and attack to defeat, based on the idea that in such a case, instead of ignoring the attack, the preference is ignored. We compare this new reduction with the two existing ones using a principle-based approach, for the four Dung semantics. The principle-based or axiomatic approach is a methodology to choose an argumentation semantics for a particular application, and to guide the search for new argumentation semantics. For this analysis, we also introduce a fourth reduction, and a semantics for preference-based argumentation based on extension selection. Our classification of twenty alternatives for preference-based abstract argumentation semantics using six principles suggests that our new reduction has some advantages over the existing ones, in the sense that if the set of preferences increases, the sets of accepted arguments increase as well.
Disciplines :
Computer science
Author, co-author :
Kaci, Souhila;  LIRMM
van der Torre, Leon ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Villata, Serena;  Université Côte d'Azur, CNRS
External co-authors :
yes
Language :
English
Title :
Preference in Abstract Argumentation
Publication date :
2018
Event name :
Seventh International Conference on Computational Models of Argument
Event date :
12-14/09/2018
Main work title :
Computational Models of Argument
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 20 August 2018

Statistics


Number of views
149 (12 by Unilu)
Number of downloads
188 (8 by Unilu)

Scopus citations®
 
29
Scopus citations®
without self-citations
27

Bibliography


Similar publications



Contact ORBilu