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Convergence to equilibrium of logit dynamics for strategic games

Published:04 June 2011Publication History

ABSTRACT

We present the first general bounds on the mixing time of logit dynamics for wide classes of strategic games. The logit dynamics describes the behaviour of a complex system whose individual components act "selfishly" and keep responding according to some partial ("noisy") knowledge of the system. In particular, we prove nearly tight bounds for potential games and games with dominant strategies. Our results show that, for potential games, the mixing time is upper and lower bounded by an "exponential" in the inverse of the noise and in the maximum potential difference. Instead, for games with dominant strategies, the mixing time cannot grow arbitrarily with the inverse of the noise. Finally, we refine our analysis for a subclass of potential games called "graphical" coordination games and we give evidence that the mixing time strongly depends on the structure of the underlying graph. Games in this class have been previously studied in Physics and, more recently, in Computer Science in the context of diffusion of new technologies.

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            cover image ACM Conferences
            SPAA '11: Proceedings of the twenty-third annual ACM symposium on Parallelism in algorithms and architectures
            June 2011
            404 pages
            ISBN:9781450307437
            DOI:10.1145/1989493

            Copyright © 2011 ACM

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            New York, NY, United States

            Publication History

            • Published: 4 June 2011

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