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Asymptotic Fair Division: Chores Are Easier Than Goods

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Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence. Main Track. Pages 3988-3995.

https://doi.org/10.24963/ijcai.2025/444

Abstract

When dividing items among agents, two of the most widely studied fairness notions are envy-freeness and proportionality. We consider a setting where m chores are allocated to n agents and the disutility of each chore for each agent is drawn from a probability distribution. We show that an envy-free allocation exists with high probability provided that m >= 2n, and moreover, m must be at least n+Theta(n) in order for the existence to hold. On the other hand, we prove that a proportional allocation is likely to exist as long as m = omega(1), and this threshold is asymptotically tight. Our results reveal a clear contrast with the allocation of goods, where a larger number of items is necessary to ensure existence for both notions.

Pasin Manurangsi, and Warut Suksompong. 2025. Asymptotic Fair Division: Chores Are Easier Than Goods. In Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25. IJCAI, 3988–3995. https://doi.org/10.24963/ijcai.2025/444
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