Fair Division of Indivisible Goods Among Strategic Agents

被引:0
|
作者
Barman, Siddharth [1 ]
Ghalme, Ganesh [1 ]
Jain, Shweta [2 ]
Kulkarni, Pooja [3 ]
Narang, Shivika [1 ]
机构
[1] Indian Inst Sci, Bangalore, Karnataka, India
[2] Indian Inst Technol, Bhubaneswar, India
[3] Univ Illinois, Urbana, IL 61801 USA
关键词
Fair Division; Social Welfare; Approximation Algorithms; Auctions;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
We study fair division of indivisible goods among strategic agents in a single-parameter environment. This work specifically considers fairness in terms of envy freeness up to one good (EF1) and maximin share guarantee (MMS). We show that (in a single-parameter environment) the problem of maximizing welfare, subject to the constraint that the allocation of the indivisible goods is EF1, admits a polynomial-time, 1/2-approximate, truthful auction. Under MMS setup, we develop a truthful auction which efficiently finds an allocation wherein each agent gets a bundle of value at least (1/2 - epsilon) times her maximin share and the welfare of the computed allocation is at least the optimal, here epsilon > 0 is a fixed constant. Our results for EF1 and MMS are based on establishing interesting majorization inequalities.
引用
收藏
页码:1811 / 1813
页数:3
相关论文
共 50 条
  • [1] Fair Division of Indivisible Goods under Risk
    Lumet, Charles
    Bouveret, Sylvain
    Lemaitre, Michel
    [J]. 20TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE (ECAI 2012), 2012, 242 : 564 - +
  • [2] Fair division of mixed divisible and indivisible goods
    Bei, Xiaohui
    Li, Zihao
    Liu, Jinyan
    Liu, Shengxin
    Lu, Xinhang
    [J]. ARTIFICIAL INTELLIGENCE, 2021, 293
  • [3] Fair Division of Mixed Divisible and Indivisible Goods
    Bei, Xiaohui
    Li, Zihao
    Liu, Jinyan
    Liu, Shengxin
    Lu, Xinhang
    [J]. THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2020, 34 : 1814 - 1821
  • [4] Fair allocation of indivisible goods to asymmetric agents
    Farhadi, Alireza
    Ghodsi, Mohammad
    Hajiaghayi, MohammadTaghi
    Lahaie, Sébastien
    Pennock, David
    Seddighin, Masoud
    Seddighin, Saeed
    Yami, Hadi
    [J]. Journal of Artificial Intelligence Research, 2019, 64 : 1 - 20
  • [5] Fair Allocation of Indivisible Goods to Asymmetric Agents
    Farhadi, Alireza
    Ghodsi, Mohammad
    Hajiaghayi, MohammadTaghi
    Lahaie, Sebastien
    Pennock, David
    Seddighin, Masoud
    Seddighin, Saeed
    Yami, Hadi
    [J]. JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2019, 64 : 1 - 20
  • [6] Fair Allocation of Indivisible Goods to Asymmetric Agents
    Farhadi, Alireza
    Ghodsi, Mohammad
    Lahaie, Sebastien
    Pennock, David
    Seddighin, Masoud
    Seddighin, Saeed
    Yami, Hadi
    [J]. AAMAS'17: PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS, 2017, : 1535 - 1537
  • [7] Population monotonicity in fair division of multiple indivisible goods
    Dogan, Emre
    [J]. INTERNATIONAL JOURNAL OF GAME THEORY, 2021, 50 (02) : 361 - 376
  • [8] Population monotonicity in fair division of multiple indivisible goods
    Emre Doğan
    [J]. International Journal of Game Theory, 2021, 50 : 361 - 376
  • [9] Fair Division of Indivisible Goods for a Class of Concave Valuations
    Chaudhury, Bhaskar Ray
    Cheung, Yun Kuen
    Garg, Jugal
    Garg, Naveen
    Hoefer, Martin
    Mehlhorn, Kurt
    [J]. JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2022, 74 : 111 - 142
  • [10] The price to pay for forgoing normalization in fair division of indivisible goods
    Lange, Pascal
    Nguyen, Nhan-Tam
    Rothe, Joerg
    [J]. ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE, 2020, 88 (07) : 817 - 832