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Communication Dans Un Congrès Année : 2018

Fairness in Multiagent Resource Allocation with Dynamic and Partial Observations: Extended Abstract

Aurélie Beynier
Nicolas Maudet
Anastasia Damamme
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Résumé

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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Dates et versions

hal-01808984 , version 1 (06-06-2018)

Identifiants

  • HAL Id : hal-01808984 , version 1

Citer

Aurélie Beynier, Nicolas Maudet, Anastasia Damamme. Fairness in Multiagent Resource Allocation with Dynamic and Partial Observations: Extended Abstract. the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018), Jul 2018, Stockholm, Sweden. ⟨hal-01808984⟩
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