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Negotiating Socially Optimal Allocations of Resources

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Date
2006
Dewey
Intelligence artificielle
Sujet
Système multi-agents
Journal issue
The Journal of Artificial Intelligence Research
Volume
25
Number
3
Publication date
2006
Article pages
315–348
Publisher
AI Access Foundation
DOI
http://dx.doi.org/doi:10.1613/jair.1870
URI
https://basepub.dauphine.fr/handle/123456789/2875
Collections
  • LAMSADE : Publications
Metadata
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Author
Endriss, Ulle
Maudet, Nicolas
Fariba, Sadri
Francesca, Toni
Type
Article accepté pour publication ou publié
Abstract (EN)
A multiagent system may be thought of as an artificial society of autonomous software agents and we can apply concepts borrowed from welfare economics and social choice theory to assess the social welfare of such an agent society. In this paper, we study an abstract negotiation framework where agents can agree on multilateral deals to exchange bundles of indivisible resources. We then analyse how these deals affect social welfare for different instances of the basic framework and different interpretations of the concept of social welfare itself. In particular, we show how certain classes of deals are both sufficient and necessary to guarantee that a socially optimal allocation of resources will be reached eventually.

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