Residential College | false |
Status | 已發表Published |
Budget-feasible Maximum Nash Social Welfare is Almost Envy-free | |
Xiaowei Wu1; Bo Li2; Jiarui Gan3 | |
2021-08 | |
Conference Name | 30th International Joint Conference on Artificial Intelligence (IJCAI-21) |
Source Publication | Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021. |
Conference Date | 19-27 27 August 2021 |
Conference Place | Virtual, Online |
Abstract | The Nash social welfare (NSW) is a well-known social welfare measurement that balances individual utilities and the overall efficiency. In the context of fair allocation of indivisible goods, it has been shown by Caragiannis et al. (EC 2016 and TEAC 2019) that an allocation maximizing the NSW is envy-free up to one good (EF1). In this paper, we are interested in the fairness of the NSW in a budget-feasible allocation problem, in which each item has a cost that will be incurred to the agent it is allocated to, and each agent has a budget constraint on the total cost of items she receives. We show that a budget-feasible allocation that maximizes the NSW achieves a 1/4-approximation of EF1 and the approximation ratio is tight. The approximation ratio improves gracefully when the items have small costs compared with the agents' budgets; it converges to 1/2 when the budget-cost ratio approaches infinity. |
Keyword | Budget-feasible Nash Social Welfare Envy-free |
URL | View the original |
Language | 英語English |
The Source to Article | PB_Publication |
Scopus ID | 2-s2.0-85125458425 |
Citation statistics | |
Document Type | Conference paper |
Collection | THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) |
Affiliation | 1.IOTSC, University of Macau 2.Department of Computing, The Hong Kong Polytechnic University 3.Max Planck Institute for Software Systems |
First Author Affilication | University of Macau |
Recommended Citation GB/T 7714 | Xiaowei Wu,Bo Li,Jiarui Gan. Budget-feasible Maximum Nash Social Welfare is Almost Envy-free[C], 2021. |
APA | Xiaowei Wu., Bo Li., & Jiarui Gan (2021). Budget-feasible Maximum Nash Social Welfare is Almost Envy-free. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021.. |
Files in This Item: | There are no files associated with this item. |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment