Mixed Fair Division: A Survey

被引:0
|
作者
Liu, Shengxin [1 ,2 ]
Lu, Xinhang [3 ]
Suzuki, Mashbat [3 ]
Walsh, Toby [3 ]
机构
[1] Harbin Inst Technol, Sch Comp Sci, Shenzhen, Peoples R China
[2] Harbin Inst Technol, Bldg L,Xili Campus Shenzhen Univ City, Shenzhen, Peoples R China
[3] Univ New South Wales, Sch Comp Sci & Engn, Bldg K17, Sydney, NSW 2052, Australia
基金
中国国家自然科学基金;
关键词
APPROXIMATE COMPETITIVE-EQUILIBRIUM; ENVY-FREENESS; TRUTHFUL; ALLOCATIONS; MECHANISMS; ALGORITHM;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Fair division considers the allocation of scarce resources among agents in such a way that every agent gets a fair share. It is a fundamental problem in society and has received significant attention and rapid developments from the game theory and artificial intelligence communities in recent years. The majority of the fair division literature can be divided along at least two orthogonal directions: goods versus chores, and divisible versus indivisible resources. In this survey, besides describing the state of the art, we outline a number of interesting open questions and future directions in three mixed fair division settings: (i) indivisible goods and chores, (ii) divisible and indivisible goods (mixed goods), and (iii) indivisible goods with subsidy which can be viewed like a divisible good.
引用
收藏
页码:1373 / 1406
页数:34
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