New Algorithms for the Fair and Efficient Allocation of Indivisible Chores

Jugal Garg, Aniket Murhekar, John Qin

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence

Main Track. Pages 2710-2718.

https://doi.org/10.24963/ijcai.2023/302

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Abstract

We study the problem of fairly and efficiently allocating indivisible chores among agents with additive disutility functions. We consider the widely used envy-based fairness properties of EF1 and EFX in conjunction with the efficiency property of fractional Pareto-optimality (fPO). Existence (and computation) of an allocation that is simultaneously EF1/EFX and fPO are challenging open problems, and we make progress on both of them. We show the existence of an allocation that is

- EF1 + fPO, when there are three agents,

- EF1 + fPO, when there are at most two disutility functions,

- EFX + fPO, for three agents with bivalued disutility functions.

These results are constructive, based on strongly polynomial-time algorithms. We also investigate non-existence and show that an allocation that is EFX+fPO need not exist, even for two agents.

Keywords

  • Game Theory and Economic Paradigms: GTEP: Fair division
  • Agent-based and Multi-agent Systems: MAS: Resource allocation
  • Game Theory and Economic Paradigms: GTEP: Computational social choice
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