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Evolution towards asymptotic efficiency, preliminary version

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  • Stefano Demichelis

    () (Department of Economics and Business, University of Pavia)

Abstract

We show that in long repeated games, or in infinitely repeated games with discount rate close to one, payoffs corresponding to evolutionary stable sets are asymptotically efficient, as intuition suggests. Actions played at the beginning of the game are used as messages that allow players to coordinate on Pareto optimal outcomes in the following stages. The result builds a bridge between the theory of repeated games and that of communication games.

Suggested Citation

  • Stefano Demichelis, 2012. "Evolution towards asymptotic efficiency, preliminary version," Quaderni di Dipartimento 173, University of Pavia, Department of Economics and Quantitative Methods.
  • Handle: RePEc:pav:wpaper:173
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    File URL: http://economia.unipv.it/docs/dipeco/quad/ps/RePEc/pav/wpaper/q173.pdf
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    References listed on IDEAS

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    1. Fudenberg, Drew & Dreber, Anna & Rand, David G. & Nowak, Martin, 2008. "Winners Don't Punish," Scholarly Articles 2252594, Harvard University Department of Economics.
    2. Demichelis, Stefano & Ritzberger, Klaus, 2003. "From evolutionary to strategic stability," Journal of Economic Theory, Elsevier, vol. 113(1), pages 51-75, November.
    3. Stefano Demichelis & Klaus Ritzberger & Jeroen M. Swinkels, 2004. "The simple geometry of perfect information games," International Journal of Game Theory, Springer;Game Theory Society, vol. 32(3), pages 315-338, June.
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