Mechanisms for dual-role-facility location games: Truthfulness and approximability

Xujin Chen, Minming Li, Changjun Wang, Chenhao Wang*, Mengqi Zhang, Yingchao Zhao

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

1 Citation (Scopus)
26 Downloads (CityUHK Scholars)

Abstract

This paper studies the dual-role-facility location game with generalized service costs, in which every agent plays a dual role of facility and customer, and is associated with a facility opening cost as his private information. The agents strategically report their opening costs to a mechanism which maps the reports to a set of selected agents and payments to them. Each selected agent opens his facility, incurs his opening cost and receives the payment the mechanism sets for him. Each unselected agent incurs a services cost that is determined by the set of selected agents in a very general way. The mechanism is truthful if under it no agent has an incentive to misreport. We provide a necessary and sufficient condition for mechanisms of the game to be truthful. This characterization particularly requires an invariant service cost for each unselected agent, which is a remarkable difference from related work in literature. As applications of this truthfulness characterization, we focus on the classic metric-space setting, in which agents' service costs equal their distances to closest open facilities. We present truthful mechanisms that minimize or approximately minimize the maximum cost among all agents and the total cost of all agents, respectively. Moreover, when the total payment cannot exceed a given budget, we prove, for both cost-minimization objectives, lower and upper bounds on approximation ratios of truthful mechanisms that satisfy the budget constraint.
Original languageEnglish
Pages (from-to)69-83
JournalTheoretical Computer Science
Volume932
Online published22 Aug 2022
DOIs
Publication statusPublished - 6 Oct 2022

Funding

Xujin Chen is supported by MOST of China under grant 2018AAA0101002 and CAS under grants XDA27000000 and ZDBS-LY-7008. Minming Li is supported by a grant from Research Grants Council of Hong Kong (No. CityU 11205619). Changjun Wang is supported by the National Natural Science Foundation of China (NSFC) [Grant 11971046]. Chenhao Wang is supported by Artificial Intelligence and Data Science Research Hub, BNU-HKBU UIC, under grants 2020KSYS007, UICR0400025-21, and UICR0700036-22.

Research Keywords

  • Approximation
  • Facility location
  • Mechanism design
  • Truthfulness

Publisher's Copyright Statement

  • COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: © 2022. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/.

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