Negotiating socially optimal allocations of resources
File(s)social-welfare.pdf (282.32 KB)
Published version
Author(s)
Endriss, U
Maudet, N
Sadri, F
Toni, F
Type
Journal Article
Abstract
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.
Version
Published version
Date Issued
2006
Citation
Journal of Artificial Intelligence Research, 2006, 25, pp.315-348
ISSN
1076-9757
Publisher
AI ACCESS FOUNDATION
Start Page
315
End Page
348
Journal / Book Title
Journal of Artificial Intelligence Research
Volume
25
Copyright Statement
© Copyright 2006 AI Access Foundation, Inc.
Source Volume Number
25
Subjects
CONTRACT NEGOTIATION
COMPLEXITY
AUCTIONS