Abstract
This paper studies the facility location game with payments, in which customers and facilities are located at publicly known locations on a line segment, and the facilities are strategic players. Each facility has an opening-cost as her private information, and she may strategically report it. Upon receiving the reports, the government uses a mechanism to select some facilities to open and pay them. The cost/utility of each customer depends on the distance to the nearest opened facility. Under a given budget B, which constrains the total payment, we derive upper and lower bounds on the approximation ratios of truthful budget feasible mechanisms for four utilitarian and egalitarian objectives, and investigate the case when augmented budget is allowed.
| Original language | English |
|---|---|
| Article number | 35 |
| Journal | Autonomous Agents and Multi-Agent Systems |
| Volume | 36 |
| Issue number | 2 |
| Online published | 2 Jun 2022 |
| DOIs | |
| Publication status | Published - Oct 2022 |
Bibliographical note
Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).Funding
This work is partially supported by Artificial Intelligence and Data Science Research Hub, BNUHKBU United International College (UIC), under project No. 2020KSYS007, and by a grant from UIC (No. UICR0400025-21). Minming Li is supported by a grant from Research Grants Council of Hong Kong (No. CityU 11205619). Chenhao Wang is supported by a grant from UIC (No. UICR0700036-22).
Research Keywords
- Approximation ratio
- Budget feasibility
- Facility location
- Mechanism design
RGC Funding Information
- RGC-funded
Fingerprint
Dive into the research topics of 'Budget feasible mechanisms for facility location games with strategic facilities'. Together they form a unique fingerprint.Projects
- 1 Finished
-
GRF: Budget Feasible Facility Location Games: From Agents to Facilities
LI, M. (Principal Investigator / Project Coordinator)
1/01/20 → 25/06/24
Project: Research
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