Fair division of mixed divisible and indivisible goods

被引:15
|
作者
Bei, Xiaohui [1 ]
Li, Zihao [1 ]
Liu, Jinyan [2 ]
Liu, Shengxin [1 ]
Lu, Xinhang [1 ]
机构
[1] Nanyang Technol Univ, Sch Phys & Math Sci, Singapore, Singapore
[2] Beijing Inst Technol, Sch Comp Sci & Technol, Beijing, Peoples R China
关键词
Fair division; Resource allocation; Envy-freeness; Social choice; ENVY-FREE; ALLOCATIONS; CUT;
D O I
10.1016/j.artint.2020.103436
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We study the problem of fair division when the set of resources contains both divisible and indivisible goods. Classic fairness notions such as envy-freeness (EF) and envy-freeness up to one good (EF1) cannot be directly applied to this mixed goods setting. In this work, we propose a new fairness notion, envy-freeness for mixed goods (EFM), which is a direct generalization of both EF and EF1 to the mixed goods setting. We prove that an EFM allocation always exists for any number of agents with additive valuations. We also propose efficient algorithms to compute an EFM allocation for two agents with general additive valuations and for n agents with piecewise linear valuations over the divisible goods. Finally, we relax the envy-freeness requirement, instead asking for epsilon-envy-freeness for mixed goods (epsilon-EFM), and present an efficient algorithm that finds an epsilon-EFM allocation. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页数:17
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