Algorithms for Competitive Division of Chores
Algorithms for Competitive Division of Chores
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竞争性家务分工算法
DOI:
10.1287/moor.2023.1361
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发表时间:
2019
期刊:
影响因子:
--
通讯作者:
Fedor Sandomirskiy
中科院分区:
文献类型:
--
作者:
Simina Brânzei;Fedor Sandomirskiy
We study the problem of allocating divisible bads (chores) among multiple agents with additive utilities when monetary transfers are not allowed. The competitive rule is known for its remarkable fairness and efficiency properties in the case of goods. This rule was extended to chores by Bogomolnaia, Moulin, Sandomirskiy, and Yanovskaya. For both goods and chores, the rule produces Pareto optimal and envy-free allocations. In the case of goods, the outcome of the competitive rule can be easily computed. Competitive allocations solve the Eisenberg-Gale convex program; hence the outcome is unique and can be approximately found by standard gradient methods. An exact algorithm that runs in polynomial time in the number of agents and goods was given by Orlin. In the case of chores, the competitive rule does not solve any convex optimization problem; instead, competitive allocations correspond to local minima, local maxima, and saddle points of the Nash social welfare on the Pareto frontier of the set of feasible utilities. The Pareto frontier may contain many such points and, consequently, the outcome of the competitive rule is no longer unique. In this paper, we show that all the outcomes of the competitive rule for chores can be computed in strongly polynomial time if either the number of agents or the number of chores is fixed. The approach is based on a combination of three ideas: all consumption graphs of Pareto optimal allocations can be listed in polynomial time; for a given consumption graph, a candidate for a competitive utility profile can be constructed via an explicit formula; each candidate can be checked for competitiveness and the allocation can be reconstructed using a maximum flow computation. Our algorithm immediately gives an approximately-fair allocation of indivisible chores by the rounding technique of Barman and Krishnamurthy. Funding: This work was supported by National Science Foundation (CNS 1518941); Lady Davis Fellowship Trust, Hebrew University of Jerusalem; H2020 European Research Council (740435); Linde Institute at Caltech.
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DOI:
10.1145/3490486.3538255
发表时间:
2022
期刊:
EC '22: Proceedings of the 23rd ACM Conference on Economics and Computation
影响因子:
--
作者:
Chaudhury, Bhaskar Ray;Garg, Jugal;McGlaughlin, Peter;Mehta, Ruta
通讯作者:
Mehta, Ruta
DOI:
10.1137/1.9781611976465.85
发表时间:
2021
期刊:
ACM-SIAM Symposium on Discrete Algorithms (SODA
影响因子:
--
作者:
Bhaskar Ray Chaudhury, Jugal Garg
通讯作者:
Bhaskar Ray Chaudhury, Jugal Garg
DOI:
10.4230/lipics.itcs.2022.41
发表时间:
2022
期刊:
13th Innovations in Theoretical Computer Science Conference (ITCS 2022
影响因子:
--
作者:
Chaudhury, Bhaskar Ray;Garg, Jugal;McGlaughlin, Peter;Mehta, Ruta
通讯作者:
Mehta, Ruta
DOI:
10.1137/1.9781611977073.92
发表时间:
2022
期刊:
Proceedings of the 2022 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA
影响因子:
--
作者:
Boodaghians, Shant;Chaudhury, Bhaskar Ray;Mehta, Ruta
通讯作者:
Mehta, Ruta
DOI:
10.1145/3313276.3316340
发表时间:
2018-09
期刊:
Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing
影响因子:
--
作者:
J. Garg;László A. Végh
通讯作者:
J. Garg;László A. Végh