Efficiency, Sequenceability and Deal-Optimality in Fair Division of Indivisible Goods

被引:0
|
作者
Beynier, Aurelie [1 ]
Bouveret, Sylvain [2 ]
Lemaitre, Michel [3 ]
Maudet, Nicolas [1 ]
Rey, Simon [4 ]
Shams, Parham [1 ]
机构
[1] Sorbonne Univ, CNRS, LIP6, F-75005 Paris, France
[2] Univ Grenoble Alpes, CNRS, LIG, Grenoble, France
[3] Off Natl Etud & Rech Aerosp, Toulouse, France
[4] Sorbonne Univ, ENS PS, Cachan, France
来源
AAMAS '19: PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS | 2019年
关键词
Multiagent Resource Allocation; Fair Division; Efficiency; ASSIGNMENT; ENVY;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In fair division of indivisible goods, using sequences of sincere choices ( or picking sequences) is a natural way to allocate the objects. The idea is as follows: at each stage, a designated agent picks one object among those that remain. Another intuitive way to obtain an allocation is to give objects to agents in the first place, and to let agents exchange them as long as such "deals" are beneficial. This paper investigates these notions, when agents have additive preferences over objects, and unveils surprising connections between them, and with other efficiency and fairness notions. In particular, we show that an allocation is sequenceable if and only if it is optimal for a certain type of deals, namely cycle deals involving a single object. Furthermore, any Pareto-optimal allocation is sequenceable, but not the converse. Regarding fairness, we show that an allocation can be envy-free and non-sequenceable, but that every competitive equilibrium with equal incomes is sequenceable. To complete the picture, we show how some domain restrictions may affect the relations between these notions. Finally, we experimentally explore the links between the scales of efficiency and fairness.
引用
收藏
页码:900 / 908
页数:9
相关论文
共 30 条
  • [1] Fair division of mixed divisible and indivisible goods
    Bei, Xiaohui
    Li, Zihao
    Liu, Jinyan
    Liu, Shengxin
    Lu, Xinhang
    ARTIFICIAL INTELLIGENCE, 2021, 293
  • [2] Population monotonicity in fair division of multiple indivisible goods
    Dogan, Emre
    INTERNATIONAL JOURNAL OF GAME THEORY, 2021, 50 (02) : 361 - 376
  • [3] Population monotonicity in fair division of multiple indivisible goods
    Emre Doğan
    International Journal of Game Theory, 2021, 50 : 361 - 376
  • [4] Distributed fair allocation of indivisible goods
    Chevaleyre, Yann
    Endriss, Ulle
    Maudet, Nicolas
    ARTIFICIAL INTELLIGENCE, 2017, 242 : 1 - 22
  • [5] Fair Division of Indivisible Goods Among Strategic Agents
    Barman, Siddharth
    Ghalme, Ganesh
    Jain, Shweta
    Kulkarni, Pooja
    Narang, Shivika
    AAMAS '19: PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS, 2019, : 1811 - 1813
  • [6] The price to pay for forgoing normalization in fair division of indivisible goods
    Lange, Pascal
    Nguyen, Nhan-Tam
    Rothe, Joerg
    ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE, 2020, 88 (07) : 817 - 832
  • [7] The price to pay for forgoing normalization in fair division of indivisible goods
    Pascal Lange
    Nhan-Tam Nguyen
    Jörg Rothe
    Annals of Mathematics and Artificial Intelligence, 2020, 88 : 817 - 832
  • [8] Democratic fair allocation of indivisible goods
    Segal-Halevi, Erel
    Suksompong, Warut
    ARTIFICIAL INTELLIGENCE, 2019, 277
  • [9] Characterizing Conflicts in Fair Division of Indivisible Goods Using a Scale of Criteria
    Bouveret, Sylvain
    Lemaitre, Michel
    AAMAS'14: PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS & MULTIAGENT SYSTEMS, 2014, : 1321 - 1328
  • [10] Characterizing conflicts in fair division of indivisible goods using a scale of criteria
    Bouveret, Sylvain
    Lemaitre, Michel
    AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS, 2016, 30 (02) : 259 - 290