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On the Power of Deterministic Mechanisms for Facility Location Games

Published: 28 October 2014 Publication History

Abstract

We consider K-Facility Location games, where n strategic agents report their locations in a metric space and a mechanism maps them to K facilities. The agents seek to minimize their connection cost, namely the distance of their true location to the nearest facility, and may misreport their location. We are interested in deterministic mechanisms that are strategyproof, that is, ensure that no agent can benefit from misreporting her location, do not resort to monetary transfers, and achieve a bounded approximation ratio to the total connection cost of the agents (or to the Lp norm of the connection costs, for some p ∈ [1, ∞) or for p = ∞).
Our main result is an elegant characterization of deterministic strategyproof mechanisms with a bounded approximation ratio for 2-Facility Location on the line. In particular, we show that for instances with n ≥ 5 agents, any such mechanism either admits a unique dictator or always places the facilities at the leftmost and the rightmost location of the instance. As a corollary, we obtain that the best approximation ratio achievable by deterministic strategyproof mechanisms for the problem of locating 2 facilities on the line to minimize the total connection cost is precisely n-2. Another rather surprising consequence is that the Two-Extremes mechanism of Procaccia and Tennenholtz [2009] is the only deterministic anonymous strategyproof mechanism with a bounded approximation ratio for 2-Facility Location on the line.
The proof of the characterization employs several new ideas and technical tools, which provide new insights into the behavior of deterministic strategyproof mechanisms for K-Facility Location games and may be of independent interest. Employing one of these tools, we show that for every K ≥ 3, there do not exist any deterministic anonymous strategyproof mechanisms with a bounded approximation ratio for K-Facility Location on the line, even for simple instances with K+1 agents. Moreover, building on the characterization for the line, we show that there do not exist any deterministic strategyproof mechanisms with a bounded approximation ratio for 2-Facility Location and instances with n ≥ 3 agents located in a star.

References

[1]
N. Alon, M. Feldman, A. D. Procaccia, and M. Tennenholtz. 2010. Strategyproof approximation of the minimax on networks. Math. Oper. Res. 35, 3, 513--526.
[2]
D. Arthur and S. Vassilvitskii. 2007. k-means++: The advantages of careful seeding. In Proceedings of the 18th ACM-SIAM Symposium on Discrete Algorithms (SODA'07). 1027--1035.
[3]
S. Barberà. 2001. An introduction to strategyproof social choice functions. Soc. Choice Welfare 18, 619--653.
[4]
S. Barberà and C. Beviá. 2006. Locating public libraries by majority: Stability, consistency and group formation. Games Econ. Behav. 56, 185--200.
[5]
E. Dokow, M. Feldman, R. Meir, and I. Nehama. 2012. Mechanism design on discrete lines and cycles. In Proceedings of the 13th ACM Conference on Electronic Commerce (EC'12). 423--440.
[6]
B. Escoffier, L. Gourvès, N. K. Thang, F. Pascual, and O. Spanjaard. 2011. Strategy-proof mechanisms for facility location games with many facilities. In Proceedings of the 2nd International Conference on Algorithmic Decision Theory (ADT'11), Lecture Notes in Artificial Intelligence, Vol. 6992, 67--81.
[7]
M. Feldman and Y. Wilf. 2013. Strategyproof facility location and the least squares objective. In Proceedings of the 14th ACM Conference on Electronic Commerce (EC'13). 873--890.
[8]
D. Fotakis and C. Tzamos. 2013a. Strategyproof facility location with concave costs. In Proceedings of the 14th ACM Conference on Electronic Commerce (EC'13). 435--452.
[9]
D. Fotakis and C. Tzamos. 2013b. Winner-imposing strategyproof mechanisms for multiple facility location games. Theoret. Comput. Sci. 472, 90--103.
[10]
A. Gibbard. 1973. Manipulation of voting schemes. Econometrica 41, 587--602.
[11]
B.-G. Ju. 2008. Efficiency and consistency for locating multiple public facilities. J. Econ. Theory 138, 165--183.
[12]
E. Koutsoupias. 2011. Scheduling without payments. In Proceedings of the 4th International Symposium on Algorithmic Game Theory (SAGT'11), Lecture Notes in Computer Science, Vol. 6982, 143--153.
[13]
P. Lu, X. Sun, Y. Wang, and Z. A. Zhu. 2010. Asymptotically optimal strategy-proof mechanisms for two-facility games. In Proceedings of the 11th ACM Conference on Electronic Commerce (EC'10). 315--324.
[14]
P. Lu, Y. Wang, and Y. Zhou. 2009. Tighter bounds for facility games. In Proceedings of the 5th Workshop on Internet and Network Economics (WINE'09), Lecture Notes in Computer Science, Vol. 5929, 137--148.
[15]
F. McSherry and K. Talwar. 2007. Mechanism design via differential privacy. In Proceedings of the 48th IEEE Symposium on Foundations of Computer Science (FOCS'07). 94--103.
[16]
E. Miyagawa. 2001. Locating libraries on a street. Social Choice Welfare 18, 527--541.
[17]
H. Moulin. 1980. On strategy-proofness and single-peakedness. Public Choice 35, 437--455.
[18]
K. Nissim, R. Smorodinsky, and M. Tennenholtz. 2012. Approximately optimal mechanism design via differential privacy. In Proceedings of the 3rd Conference on Innovations in Theoretical Computer Science (ITCS'12). 203--213.
[19]
A. D. Procaccia and M. Tennenholtz. 2009. Approximate mechanism design without money. In Proceedings of the 10th ACM Conference on Electronic Commerce (EC'09). 177--186.
[20]
M. Satterthwaite. 1975. Strategyproofness and arrow's conditions: Existence and correspondence theorems for voting procedures and social welfare functions. J. Econ. Theory 10, 187--217.
[21]
J. Schummer and R.V. Vohra. 2002. Strategyproof location on a network. J. Econ. Theory 104, 405--428.
[22]
J. Schummer and R. V. Vohra. 2007. Mechanism design without money. Algorith. Game Theory, Chap. 10, 243--299.

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  • (2024)Learning-Augmented Mechanism Design: Leveraging Predictions for Facility LocationMathematics of Operations Research10.1287/moor.2022.022549:4(2626-2651)Online publication date: Nov-2024
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    Published In

    cover image ACM Transactions on Economics and Computation
    ACM Transactions on Economics and Computation  Volume 2, Issue 4
    October 2014
    162 pages
    ISSN:2167-8375
    EISSN:2167-8383
    DOI:10.1145/2684807
    Issue’s Table of Contents
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 28 October 2014
    Accepted: 01 July 2014
    Revised: 01 June 2014
    Received: 01 September 2013
    Published in TEAC Volume 2, Issue 4

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    Author Tags

    1. Algorithmic mechanism design
    2. facility location games
    3. social choice

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    Funding Sources

    • European Social Fund
    • Greek national funds
    • Operational Program “Education and Lifelong Learning” of the National Strategic Reference Framework (NSRF) -- Research Funding Program: THALES
    • project Algorithmic Game Theory

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    Cited By

    View all
    • (2025)Agent-constrained truthful facility location gamesJournal of Combinatorial Optimization10.1007/s10878-025-01258-749:2Online publication date: 20-Jan-2025
    • (2024)Learning-Augmented Mechanism Design: Leveraging Predictions for Facility LocationMathematics of Operations Research10.1287/moor.2022.022549:4(2626-2651)Online publication date: Nov-2024
    • (2024)Two homogeneous facility location games with a minimum distance requirement on a circleTheoretical Computer Science10.1016/j.tcs.2024.114398991(114398)Online publication date: Apr-2024
    • (2024)On truthful constrained heterogeneous facility location with max-variant costOperations Research Letters10.1016/j.orl.2023.10706052(107060)Online publication date: Jan-2024
    • (2024)Two-facility-location games with mixed types of agentsApplied Mathematics and Computation10.1016/j.amc.2023.128479466(128479)Online publication date: Apr-2024
    • (2024)Randomized Strategyproof Mechanisms for Multi-Stage Facility Location Problem with Capacity ConstraintsFrontiers of Algorithmics10.1007/978-981-97-7752-5_17(211-224)Online publication date: 30-Jul-2024
    • (2024)The k-Facility Location Problem via Optimal Transport: A Bayesian Study of the Percentile MechanismsAlgorithmic Game Theory10.1007/978-3-031-71033-9_9(147-164)Online publication date: 31-Aug-2024
    • (2024)Agent-Constrained Truthful Facility Location GamesAlgorithmic Game Theory10.1007/978-3-031-71033-9_8(129-146)Online publication date: 31-Aug-2024
    • (2024)Facility Location GamesHandbook of Combinatorial Optimization10.1007/978-1-4614-6624-6_94-1(1-13)Online publication date: 28-Sep-2024
    • (2023)Mechanism Design for Heterogeneous and Distributed Facility Location ProblemsProceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems10.5555/3545946.3599146(2985-2987)Online publication date: 30-May-2023
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