Almost Group Envy-free Allocation of Indivisible Goods and Chores

Open Access
Authors
Publication date 2020
Host editors
  • C. Bessiere
Book title Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence
Book subtitle IJCAI-20 : Yokohama
ISBN (electronic)
  • 9780999241165
Event 29th International Joint Conference on Artificial Intelligence - Pacific Rim International Conference on Artificial Intelligence
Pages (from-to) 39-45
Publisher International Joint Conferences on Artificial Intelligence
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract
We consider a multi-agent resource allocation setting in which an agent's utility may decrease or increase when an item is allocated. We take the group envy-freeness concept that is well-established in the literature and present stronger and relaxed versions that are especially suitable for the allocation of indivisible items. Of particular interest is a concept called group envy-freeness up to one item (GEF1). We then present a clear taxonomy of the fairness concepts. We study which fairness concepts guarantee the existence of a fair allocation under which preference domain. For two natural classes of additive utilities, we design polynomial-time algorithms to compute a GEF1 allocation. We also prove that checking whether a given allocation satisfies GEF1 is coNP-complete when there are either only goods, only chores or both.
Document type Conference contribution
Note Longer version available on ArXiv.org.
Language English
Published at https://doi.org/10.24963/ijcai.2020/6
Published at https://arxiv.org/abs/1907.09279
Downloads
1907.09279 (Other version)
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