Co-evolutionary dynamics and Bayesian interaction games

Staudigl M (2013)
International Journal of Game Theory 42(1): 179-210.

Journal Article | Published | English

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Abstract
Recently there has been a growing interest in evolutionary models of play with endogenous interaction structure. We call such processes co-evolutionary dynamics of networks and play. We study a co-evolutionary process of networks and play in settings where players have diverse preferences. In the class of potential games we provide a closed-form solution for the unique invariant distribution of this process. Based on this result we derive various asymptotic statistics generated by the co-evolutionary process. We give a complete characterization of the random graph model, and stochastically stable states in the small noise limit. Thereby we can select among action profiles and networks which appear jointly with non-vanishing frequency in the limit of small noise in the population. We further study stochastic stability in the limit of large player populations.
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Staudigl M. Co-evolutionary dynamics and Bayesian interaction games. International Journal of Game Theory. 2013;42(1):179-210.
Staudigl, M. (2013). Co-evolutionary dynamics and Bayesian interaction games. International Journal of Game Theory, 42(1), 179-210.
Staudigl, M. (2013). Co-evolutionary dynamics and Bayesian interaction games. International Journal of Game Theory 42, 179-210.
Staudigl, M., 2013. Co-evolutionary dynamics and Bayesian interaction games. International Journal of Game Theory, 42(1), p 179-210.
M. Staudigl, “Co-evolutionary dynamics and Bayesian interaction games”, International Journal of Game Theory, vol. 42, 2013, pp. 179-210.
Staudigl, M.: Co-evolutionary dynamics and Bayesian interaction games. International Journal of Game Theory. 42, 179-210 (2013).
Staudigl, Mathias. “Co-evolutionary dynamics and Bayesian interaction games”. International Journal of Game Theory 42.1 (2013): 179-210.
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