Abstract
We provide a taxonomy and brief overview of the theory of learning and evolution in games.
The author thanks John Nachbar for a number of helpful conversations and for sharing his expertise on coordinated Bayesian learning. Financial support under NSF Grants SES-0092145 and SES-0617753 is gratefully acknowledged.
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Benaïm, M., and J.W. Weibull. 2003. Deterministic approximation of stochastic evolution in games. Econometrica 71: 873–903.
Binmore, K., L. Samuelson, and R. Vaughan. 1995. Musical chairs: Modeling noisy evolution. Games and Economic Behavior 11: 1–35.
Björnerstedt, J., and J.W. Weibull. 1996. Nash equilibrium and evolution by imitation. In The rational foundations of economic behavior, ed. K.J. Arrow, E. Colombatto, M. Perlman, and C. Schmidt. New York: St. Martin’s Press.
Blume, L.E. 2003. How noise matters. Games and Economic Behavior 44: 251–271.
Börgers, T., and R. Sarin. 1997. Learning through reinforcement and the replicator dynamics. Journal of Economic Theory 77: 1–14.
Brown, G.W. 1951. Iterative solutions of games by fictitious play. In Activity analysis of production and allocation, ed. T.C. Koopmans. New York: Wiley.
Brown, G.W., and J. von Neumann. 1950. Solutions of games by differential equations. In Contributions to the theory of games I, Annals of mathematics studies, vol. 24, ed. H.W. Kuhn and A.W. Tucker. Princeton: Princeton University Press.
Ellison, G. 1993. Learning, local interaction, and coordination. Econometrica 61: 1047–1071.
Ellison, G. 2000. Basins of attraction, long run equilibria, and the speed of step-by-step evolution. Review of Economic Studies 67: 17–45.
Erev, I., and A.E. Roth. 1998. Predicting how people play games: Reinforcement learning in experimental games with unique, mixed strategy equilibria. American Economic Review 88: 848–881.
Foster, D.P., and R. Vohra. 1997. Calibrated learning and correlated equilibrium. Games and Economic Behavior 21: 40–55.
Foster, D.P., and R. Vohra. 1998. Asymptotic calibration. Biometrika 85: 379–390.
Foster, D.P., and H.P. Young. 1990. Stochastic evolutionary game dynamics. Theoretical Population Biology 38: 219–232.
Foster, D.P., and H.P. Young. 2003. Learning, hypothesis testing, and Nash equilibrium. Games and Economic Behavior 45: 73–96.
Fudenberg, D., and D.M. Kreps. 1993. Learning mixed equilibria. Games and Economic Behavior 5: 320–367.
Fudenberg, D., and D.K. Levine. 1998. Theory of learning in games. Cambridge: MIT Press.
Hart, S. 2002. Evolutionary dynamics and backward induction. Games and Economic Behavior 41: 227–264.
Hart, S., and A. Mas-Colell. 2000. A simple adaptive procedure leading to correlated equilibrium. Econometrica 68: 1127–1150.
Hart, S., and A. Mas-Colell. 2003. Uncoupled dynamics do not lead to Nash equilibrium. American Economic Review 93: 1830–1836.
Hofbauer, J. 2000. From Nash and Brown to Maynard Smith: Equilibria, dynamics, and ESS. Selection 1: 81–88.
Hofbauer, J., and W.H. Sandholm. 2002. On the global convergence of stochastic fictitious play. Econometrica 70: 2265–2294.
Hofbauer, J., and W.H. Sandholm. 2006. Survival of dominated strategies under evolutionary dynamics. Working paper. University of Vienna and University of Wisconsin.
Hofbauer, J., and K. Sigmund. 1988. Theory of evolution and dynamical systems. Cambridge: Cambridge University Press.
Hofbauer, J., and J.M. Swinkels. 1996. A universal Shapley example. Working paper. University of Vienna and Northwestern University.
Jordan, J.S. 1995. Bayesian learning in repeated games. Games and Economic Behavior 9: 8–20.
Kalai, E., and E. Lehrer. 1993. Rational learning leads to Nash equilibrium. Econometrica 61: 1019–1045.
Kandori, M., G.J. Mailath, and R. Rob. 1993. Learning, mutation, and long run equilibria in games. Econometrica 61: 29–56.
Kandori, M., and R. Rob. 1995. Evolution of equilibria in the long run: A general theory and applications. Journal of Economic Theory 65: 383–414.
Maynard Smith, J., and G.R. Price. 1973. The logic of animal conflict. Nature 246: 15–18.
Nachbar, J.H. 2005. Beliefs in repeated games. Econometrica 73: 459–480.
Nöldeke, G., and L. Samuelson. 1993. An evolutionary analysis of backward and forward induction. Games and Economic Behavior 5: 425–454.
Nyarko, Y. 1998. Bayesian learning and convergence to Nash equilibria without common priors. Economic Theory 11: 643–655.
Robinson, J. 1951. An iterative method of solving a game. Annals of Mathematics 54: 296–301.
Sandholm, W.H. 2006. Pairwise comparison dynamics and evolutionary foundations for Nash equilibrium. Working paper. University of Wisconsin.
Sandholm, W.H. 2007. Population games and evolutionary dynamics. Cambridge, MA: MIT Press.
Schlag, K.H. 1998. Why imitate, and if so, how? A boundedly rational approach to multi-armed bandits. Journal of Economic Theory 78: 130–156.
Shapley, L.S. 1964. Some topics in two person games. In Advances in game theory, Annals of mathematics studies, vol. 52, ed. M. Dresher, L.S. Shapley, and A.W. Tucker. Princeton: Princeton University Press.
Smith, M.J. 1984. The stability of a dynamic model of traffic assignment: An application of a method of Lyapunov. Transportation Science 18: 245–252.
Taylor, P.D., and L. Jonker. 1978. Evolutionarily stable strategies and game dynamics. Mathematical Biosciences 40: 145–156.
Young, H.P. 1993. The evolution of conventions. Econometrica 61: 57–84.
Young, H.P. 2004. Strategic learning and its limits. Oxford: Oxford University Press.
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Sandholm, W.H. (2018). Learning and Evolution in Games: An Overview. In: The New Palgrave Dictionary of Economics. Palgrave Macmillan, London. https://doi.org/10.1057/978-1-349-95189-5_1948
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