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Deterministic Approximation of Stochastic Evolution in Games

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Author Info
Benaim, M.
Weibull, J.W.

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Abstract

This paper provides deterministic approximation results for stochastic processes that arise when finite populations of boundedly rational agents recurrently play finite games. The deterministic approximation is defined in continuous time in terms of a system of ordinary differential equations of the type studied in evolutionary game theory. We establish precise connections between the long-run behavior of the stochastic process, for large populations, and its deterministic approximation. In particular, we show that if the deterministic flow enters a basin of attraction, then the stochastic process follows this flow closely until this (deterministic) entry time, with a probability that approaches one exponentially in the population size. After entry, the process remains in a neighborhood of the attractor for a random time span that exceeds an exponential function of the population size. The process spends almost all this time in a neighborhood of a subset of the attractor, the Birkhoff center of the flow restricted to the attractor.

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Publisher Info
Paper provided by Research Institute of Industrial Economics (IFN) in its series Research Institute of Industrial Economics Working Papers with number 534.

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Length: 37 pages
Date of creation: 2000
Date of revision:
Handle: RePEc:fth:iniesr:534

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Related research
Keywords: GAME THEORY ; EVOLUTION;

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Find related papers by JEL classification:
C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games

References listed on IDEAS
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  1. Fudenberg, Drew & Levine, David, 1998. "Learning in games," European Economic Review, Elsevier, vol. 42(3-5), pages 631-639, May. [Downloadable!] (restricted)
  2. Kandori, Michihiro & Mailath, George J & Rob, Rafael, 1993. "Learning, Mutation, and Long Run Equilibria in Games," Econometrica, Econometric Society, vol. 61(1), pages 29-56, January. [Downloadable!] (restricted)
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  3. Jorgen W. Weibull, 1997. "Evolutionary Game Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262731215.
  4. Schlag, Karl H., 1998. "Why Imitate, and If So, How?, : A Boundedly Rational Approach to Multi-armed Bandits," Journal of Economic Theory, Elsevier, vol. 78(1), pages 130-156, January. [Downloadable!] (restricted)
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  5. Fudenberg, D. & Kreps, D.M., 1992. "Learning Mixed Equilibria," Working papers 92-13, Massachusetts Institute of Technology (MIT), Department of Economics.
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