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Enhancing Coalition Formation in Multi-Agent Systems When Agents Plan Their Activities

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FAIA241-0011.pdf (285.0Kb)
Date
2012
Dewey
Intelligence artificielle
Sujet
Multiagent systems; coalition formation; plans
DOI
http://dx.doi.org/10.3233/978-1-61499-096-3-11
Conference name
Volume 241: STAIRS 2012
Conference date
08-2012
Conference city
Montpellier
Conference country
France
Book title
STAIRS
Author
Kersting, Kristian; Toussaint, Marc
Publisher
IOS Press
Publisher city
Amsterdam
Pages number
364
ISBN
978-1-61499-096-3
URI
https://basepub.dauphine.fr/handle/123456789/21127
Collections
  • LAMSADE : Publications
Metadata
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Author
Arib, Souhila
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Aknine, Souhila
Type
Communication / Conférence
Item number of pages
11-22
Abstract (EN)
In a multiagent system, coalition formation is a coordination method for agents aiming to form groups of interest. In this paper, we focus on the particular context where agents are self-interested and plan their activities. We develop a new coalition formation model that uses the plans of the agents to guide the search for the coalitions and analyzes the coalition proposals already suggested by other agents in order to derive their preferences. This eases the negotiation for the coalitions. We analyse and develop the constraints that should be enforced on self-interested agents in order to form suitable coalitions which guarantee significant solution concepts. In addition, we detail in this paper our coalition formation mechanism, we experiment and evaluate it.

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