Approximate and Strategyproof Maximin Share Allocation of Chores with Ordinal Preferences

Approximate and Strategyproof Maximin Share Allocation of Chores with Ordinal Preferences
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具有顺序偏好的家务劳动的近似和策略证明最大化分配

DOI:
10.1007/s10107-022-01855-y
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发表时间:
2020
期刊:
ArXiv
影响因子:
--
通讯作者:
Xiaowei Wu
Xiaowei Wu
中科院分区:
--
文献类型:
--
作者:
H. Aziz;Bo Li;Xiaowei Wu

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我们开始工作的最大最小份额(MMS)公平分配的m个不可分割的家务n代理只使用他们的顺序偏好,从算法和机制设计的角度。之前最著名的近似是Aziz等人的2-1/n [IJCAI 2017]。我们通过给出一个简单的确定性5/3近似算法来改进这个结果,该算法确定代理的分配序列,根据该序列,项目被逐一分配。通过更严格的分析,我们表明,当n= 2,3时,我们的算法获得了更好的近似比,实际上是最优的。我们还考虑了战略代理人的设置,代理人可能会误报他们的偏好来操纵结果。我们首先给出了一个O(\log(m/n))-近似的连续拣选算法,然后通过一个随机化算法将近似率提高到O(\sqrt{\log n}).我们的研究结果揭示了一些有趣的对比之间的近似比率实现家务与货物。
We initiate the work on maximin share (MMS) fair allocation of m indivisible chores to n agents using only their ordinal preferences, from both algorithmic and mechanism design perspectives. The previous best-known approximation is 2-1/n by Aziz et al. [IJCAI 2017]. We improve this result by giving a simple deterministic 5/3-approximation algorithm that determines an allocation sequence of agents, according to which items are allocated one by one. By a tighter analysis, we show that for n=2,3, our algorithm achieves better approximation ratios, and is actually optimal. We also consider the setting with strategic agents, where agents may misreport their preferences to manipulate the outcome. We first provide a O(\log (m/n))-approximation consecutive picking algorithm, and then improve the approximation ratio to O(\sqrt{\log n}) by a randomized algorithm. Our results uncover some interesting contrasts between the approximation ratios achieved for chores versus goods.
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