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Concurrent imitation dynamics in congestion games

Published: 10 August 2009 Publication History

Abstract

Imitating successful behavior is a natural and frequently applied approach when facing scenarios for which we have little or no experience upon which we can base our decision. In this paper, we consider such behavior in atomic congestion games. We propose to study concurrent imitation dynamics that emerge when each player samples another player and possibly imitates this agents' strategy if the anticipated latency gain is sufficiently large. Our main focus is on convergence properties. Using a potential function argument, we show that these dynamics converge in a monotonic fashion to stable states. In such a state none of the players can improve their latency by imitating others.
As our main result, we show rapid convergence to approximate equilibria. At an approximate equilibrium only a small fraction of agents sustains a latency significantly above or below average. In particular, imitation dynamics behave like fully polynomial time approximation schemes (FPTAS). Fixing all other parameters, the convergence time depends only in a logarithmic fashion on the number of agents.
Since imitation processes are not innovative they cannot discover unused strategies. Furthermore, strategies may become extinct with non-zero probability. For the case of singleton games, we show that the probability of this event occurring is negligible. Additionally, we prove that the social cost of a stable state reached by our dynamics is not much worse than an optimal state in singleton congestion games with linear latency functions.
While we concentrate on the case of symmetric network congestion games, most of our results do not explicitly use the network structure. They continue to hold accordingly for general symmetric and asymmetric congestion games when each player samples within his commodity.

References

[1]
H. Ackermann, S. Fischer, M. Hoefer, and M. Schöngens. Distributed Algorithms for QoS Load Balancing. In Proc. 21st Symposium Parallelism in Algorithms and Architectures (SPAA), 2009.
[2]
H. Ackermann, H. Röglin, and B. Vöcking. On the impact of combinatorial structure on congestion games. J ACM, 55(6), 2008.
[3]
B. Awerbuch, Y. Azar, and A. Epstein. The price of routing unsplittable flow. In Proc. 37th Symposium on Theory of Computing (STOC), pages 57--66, 2005.
[4]
B. Awerbuch, Y. Azar, A. Epstein, V. Mirrokni, and A. Skopalik. Fast convergence to nearly optimal solutions in potential games. In Proc. 9th Conference on Electronic Commerce, pages 264--273, 2008.
[5]
P. Berenbrink, T. Friedetzky, L. Goldberg, P. Goldberg, Z. Hu, and R. Martin. Distributed selfish load balancing. SIAM J. Comput., 37(4):1163--1181, 2007.
[6]
P. Berenbrink, T. Friedetzky, I. Hajirasouliha, and Z. Hu. Convergence to equilibria in distributed, selfish reallocation processes with weighted tasks. In Proc. 15th European Symposium on Algorithms (ESA), pages 41--52, 2007.
[7]
A. Blum, E. Even-Dar, and K. Ligett. Routing without regret: On convergence to Nash equilibria of regret-minimizing algorithms in routing games. In Proc. 25th Symposium on Principles of Distributed Computing (PODC), pages 45--52, 2006.
[8]
S. Chien and A. Sinclair. Convergence to approximate Nash equilibria in congestion games. In Proc. 18th Symposium on Discrete Algorithms (SODA), pages 169--178, 2007.
[9]
G. Christodoulou and E. Koutsoupias. The price of anarchy of finite congestion games. In Proc. 37th Symposium on Theory of Computing (STOC), pages 67--73, 2005.
[10]
E. Even-Dar, A. Kesselman, and Y. Mansour. Convergence time to Nash equilibrium in load balacing. ACM Transact. Algorithms}, 3(3), 2007.
[11]
E. Even-Dar and Y. Mansour. Fast convergence of selfish rerouting. In Proc. 16th Symposium on Discrete Algorithms (SODA), pages 772--781, 2005.
[12]
A. Fabrikant, C. Papadimitriou, and K. Talwar. The complexity of pure Nash equilibria. In Proc. 36th Symposium on Theory of Computing (STOC), pages 604--612, 2004.
[13]
A. Fanelli, M. Flammini, and L. Moscardelli. The speed of convergence in congestion games under best-response dynamics. In Proc. 35th International Colloquium on Automata, Languages and Programming (ICALP), pages 796--807, 2008.
[14]
S. Fischer, L. Olbrich, and B. Vöcking. Approximating Wardrop equilibria with finitely many agents. Distributed Computing, 21(2):129--139, 2008.
[15]
S. Fischer, H. Räcke, and B. Vöcking. Fast convergence to Wardrop equilibria by adaptive sampling methods. In Proc. 38th Symposium on Theory of Computing (STOC), pages 653--662, 2006.
[16]
S. Fischer and B. Vöcking. Adaptive routing with stale information. Theoretical Computer Science, 2008. Invited paper. To appear.
[17]
D. Fotakis, A. Kaporis, and P. Spirakis. Atomic congestion games: Fast, myopic and concurrent. In Proc. 1st Symposium on Algorithmic Game Theory (SAGT), pages 121--132, 2008.
[18]
P. Goldberg. Bounds for the convergence rate of randomized local search in a multiplayer load-balancing game. In Proc. 23rd Symposium on Principles of Distributed Computing (PODC), pages 131--140, 2004.
[19]
T. Hagerup and C. Rüb. A guided tour of Chernoff bounds. Inf. Process. Lett., 33:305--308, 1990.
[20]
J. Hofbauer and K. Sigmund. Evolutionary Games and Population Dynamics. Cambridge University Press, 1998.
[21]
S. Ieong, R. McGrew, E. Nudelman, Y. Shoham, and Q. Sun. Fast and compact: A simple class of congestion games. In Proc. 20th Conference on Artificial Intelligence (AAAI), pages 489--494, 2005.
[22]
E. Koutsoupias and C. Papadimitriou. Worst-case equilibria. In Proc. 16th Symposium on Theoretical Aspects of Computer Science (STACS), pages 404--413. Springer-Verlag, 1999.
[23]
N. Nisan, T. Roughgarden, E. Tardos, and V. Vazirani, editors. Algorithmic Game Theory. Cambridge University Press, 2007.
[24]
R. Rosenthal. A class of games possessing pure-strategy Nash equilibria. International Journal of Game Theory, 2:65--67, 1973.
[25]
T. Roughgarden and É. Tardos. How bad is selfish routing? J ACM, 49(2):236--259, 2002.
[26]
A. Skopalik and B. Vöcking. Inapproximability of pure Nash equilibria. In Proc. 40th Symposium on Theory of Computing (STOC), pages 355--364, 2008.
[27]
J. Weibull. Evolutionary Game Theory. MIT press, 1995.

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  • (2018)A simple approach for adapting continuous load balancing processes to discrete settingsDistributed Computing10.1007/s00446-016-0266-y29:2(143-161)Online publication date: 26-Dec-2018
  • (2017)Multiplicative weights update with constant step-size in congestion gamesProceedings of the 31st International Conference on Neural Information Processing Systems10.5555/3295222.3295337(5874-5884)Online publication date: 4-Dec-2017
  • (2016)Average Case Performance of Replicator Dynamics in Potential Games via Computing Regions of AttractionProceedings of the 2016 ACM Conference on Economics and Computation10.1145/2940716.2940784(703-720)Online publication date: 21-Jul-2016
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Published In

cover image ACM Conferences
PODC '09: Proceedings of the 28th ACM symposium on Principles of distributed computing
August 2009
356 pages
ISBN:9781605583969
DOI:10.1145/1582716
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: 10 August 2009

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Author Tags

  1. adaptive routing
  2. dynamics
  3. game theory
  4. imitation

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PODC '09 Paper Acceptance Rate 27 of 110 submissions, 25%;
Overall Acceptance Rate 740 of 2,477 submissions, 30%

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Cited By

View all
  • (2018)A simple approach for adapting continuous load balancing processes to discrete settingsDistributed Computing10.1007/s00446-016-0266-y29:2(143-161)Online publication date: 26-Dec-2018
  • (2017)Multiplicative weights update with constant step-size in congestion gamesProceedings of the 31st International Conference on Neural Information Processing Systems10.5555/3295222.3295337(5874-5884)Online publication date: 4-Dec-2017
  • (2016)Average Case Performance of Replicator Dynamics in Potential Games via Computing Regions of AttractionProceedings of the 2016 ACM Conference on Economics and Computation10.1145/2940716.2940784(703-720)Online publication date: 21-Jul-2016
  • (2016)Generalized mirror descents in congestion gamesArtificial Intelligence10.1016/j.artint.2016.09.002241(217-243)Online publication date: Dec-2016
  • (2016)Convergence to Equilibrium of Logit Dynamics for Strategic GamesAlgorithmica10.1007/s00453-015-0025-776:1(110-142)Online publication date: 1-Sep-2016
  • (2014)Distributed Selfish Load Balancing on NetworksACM Transactions on Algorithms10.1145/262967111:1(1-29)Online publication date: 11-Aug-2014
  • (2014)Subgames within Large Games and the Heuristic of ImitationStudia Logica10.1007/s11225-014-9549-0102:2(361-388)Online publication date: 27-Feb-2014
  • (2013)Proportional and double imitation rules for spectrum access in cognitive radio networksComputer Networks10.1016/j.comnet.2013.03.00857:8(1863-1879)Online publication date: Jun-2013
  • (2012)Imitation-based spectrum access policy for CSMA/CA-based cognitive radio networks2012 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC.2012.6214274(2780-2785)Online publication date: Apr-2012
  • (2012)Computing pure Nash and strong equilibria in bottleneck congestion gamesMathematical Programming10.1007/s10107-012-0521-3141:1-2(193-215)Online publication date: 8-Mar-2012
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