Guaranteeing MMS for All but One Agent When Allocating Indivisible Chores
Jiawei Qiu, Xiaowei Wu, Cong Zhang, Shengwei Zhou

TL;DR
This paper introduces a new fairness guarantee called $ ext{all-but-one MMS}$ for allocating indivisible chores among agents, ensuring most agents meet their MMS and providing bounds on the approximation for the remaining agent.
Contribution
The paper proposes the $ ext{all-but-one MMS}$ fairness notion and establishes existence results with specific approximation ratios for different numbers of agents.
Findings
Existence of $ ext{all-but-one MMS}$ allocations for 3, 4, and n agents.
Approximation ratios: 9/8 for 3 agents, 4/3 for 4 agents, and $(n+1)^2/4n$ for n ≥ 5.
The new fairness concept strengthens previous MMS guarantees for indivisible chores.
Abstract
We study the problem of allocating indivisible chores to agents with additive cost functions under the fairness notion of maximin share (MMS). In this work, we propose a notion called -approximate all-but-one maximin share (-AMMS) which is a stronger version of -approximate MMS. An allocation is called -AMMS if agents are guaranteed their MMS values and the remaining agent is guaranteed -approximation of her MMS value. We show that there exist -AMMS allocations, with for three agents; for four agents; and for agents.
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Taxonomy
TopicsModular Robots and Swarm Intelligence
