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Mechanism Design for Reducing Agent Distances to Prelocated Facilities

Hau Chan, Xinliang Fu, Minming Li, Chenhao Wang*

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

We consider a variant of facility location problems where the facility is prelocated at a specific position to serve the agents who are located on a real line. Because the facility cannot be relocated due to various constraints (e.g., construction costs and requirements), the social planner considers the structural modification problem of adding short-cut edges to the real line (e.g., shuttles between pairs of locations) for improving the accessibility or reducing costs of the agents to the facility, where the cost of an agent is measured by their shortest distance to the facility possibly using the short-cut edges. We focus on the mechanism design aspects of the problems where the agents' locations are private. We propose several strategy-proof mechanisms that elicit true agent locations and minimize the total or maximum cost of agents. We provide approximation ratios for these mechanisms and lower bounds on the approximation ratios for total or maximum cost. © 2024 International Foundation for Autonomous Agents and Multiagent Systems.
Original languageEnglish
Title of host publicationAAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems
PublisherAssociation for Computing Machinery
Pages2180-2182
ISBN (Electronic)979-8-4007-0486-4
Publication statusPublished - May 2024
Event23th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024) - Auckland, New Zealand
Duration: 6 May 202410 May 2024
https://www.aamas2024-conference.auckland.ac.nz/
https://dl.acm.org/doi/proceedings/10.5555/3635637

Publication series

NameProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
ISSN (Print)1548-8403

Conference

Conference23th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024)
Abbreviated titleAAMAS '24
PlaceNew Zealand
CityAuckland
Period6/05/2410/05/24
Internet address

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).

Research Keywords

  • Approximation Ratio
  • Facility Location
  • Mechanism Design

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