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Fairness in Multiagent Resource Allocation with Dynamic and Partial Observations

Published: 09 July 2018 Publication History

Abstract

We investigate fairness issues in distributed resource allocation of indivisible goods. More specifically, we study envy-freeness in a setting where the observations of agents only result from encounters with other agents. Agents thus have a partial and uncertain view of the entire allocation, that they maintain throughout the process, and which allows them to have different estimates of their envy. We provide a fully distributed protocol allowing to guarantee termination despite the limited knowledge of agents.

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S. Bouveret, Y. Chevaleyre, and N. Maudet. Fair allocation of indivisible goods. In F. Brandt, V. Conitzer, U. Endriss, J. Lang, and A. D. Procaccia, editors, Handbook of Computational Social Choice, chapter 12. Cambridge University Press, 2016.
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cover image ACM Conferences
AAMAS '18: Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems
July 2018
2312 pages

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International Foundation for Autonomous Agents and Multiagent Systems

Richland, SC

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Published: 09 July 2018

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  • Research-article

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  • ANR project

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AAMAS '18
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AAMAS '18: Autonomous Agents and MultiAgent Systems
July 10 - 15, 2018
Stockholm, Sweden

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AAMAS '18 Paper Acceptance Rate 149 of 607 submissions, 25%;
Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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