No full text
Paper published in a book (Scientific congresses, symposiums and conference proceedings)
Social Viewpoints for Arguing about Coalitions
Boella, Guido; van der Torre, Leon; Villata, Serena
2008In Intelligent Agents and Multi-Agent Systems, 11th Pacific Rim International Conference on Multi-Agents, PRIMA 2008, Hanoi, Vietnam, December 15-16, 2008. Proceedings
Peer reviewed
 

Files


Full Text
No document available.

Send to



Details



Keywords :
coalitions; non-monotonic logic; social theories
Abstract :
[en] Frameworks for arguing about coalitions are based on non-monotonic logic and are therefore formal and abstract, whereas social theories about agent coalitions typically are based on conceptual modeling languages and therefore semi-formal and detailed. In this paper we bridge the gap between these two research areas such that social viewpoints can be used to argue about coalitions. We formally define three social viewpoints with abstraction and refinement relations among them, and we adapt an existing coalition argumentation theory to reason about the coalitions defined in the most abstract social viewpoint.
Disciplines :
Computer science
Identifiers :
UNILU:UL-CONFERENCE-2009-215
Author, co-author :
Boella, Guido
van der Torre, Leon ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Villata, Serena
External co-authors :
yes
Language :
English
Title :
Social Viewpoints for Arguing about Coalitions
Publication date :
2008
Event name :
Intelligent Agents and Multi-Agent Systems, 11th Pacific Rim International Conference on Multi-Agents, PRIMA 2008, Hanoi, Vietnam, December 15-16, 2008. Proceedings
Event date :
2008
Audience :
International
Main work title :
Intelligent Agents and Multi-Agent Systems, 11th Pacific Rim International Conference on Multi-Agents, PRIMA 2008, Hanoi, Vietnam, December 15-16, 2008. Proceedings
Publisher :
Springer
ISBN/EAN :
978-3-540-89673-9
Collection name :
Lecture Notes in Computer Science 5357
Pages :
66–77
Peer reviewed :
Peer reviewed
Commentary :
5357
Available on ORBilu :
since 01 March 2016

Statistics


Number of views
31 (0 by Unilu)
Number of downloads
0 (0 by Unilu)

Scopus citations®
 
23
Scopus citations®
without self-citations
10
OpenCitations
 
9
WoS citations
 
13

Bibliography


Similar publications



Contact ORBilu