On The Evolution Of Cooperation In General Games Of Common Interest
This paper investigates an evolutionary model of equilibrium selection in which agents are randomly paired every period to play some general symrnetric game of common interest (i.e., a game where some strategy profile Pareto- dominates al1 other configurations). Along the process, players tend to imitate the strategy (or strategies) which currently yield the highest average payoff. Occasionally, they also experiment with arbitrarily chosen strategies. In the long run, if the rate of experimentation is small, the population ends up playing the uniquely efficient strategy profile "most of the time". Moreover, the convergence to such state of affairs is relatively fast, independently of population size.
|Date of creation:||Dec 1993|
|Publication status:||Published by Ivie|
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- Ellison, Glenn, 1993.
"Learning, Local Interaction, and Coordination,"
Econometric Society, vol. 61(5), pages 1047-1071, September.
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- 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.
- Kandori, M. & Mailath, G.J., 1991. "Learning, Mutation, And Long Run Equilibria In Games," Papers 71, Princeton, Woodrow Wilson School - John M. Olin Program.
- M. Kandori & G. Mailath & R. Rob, 1999. "Learning, Mutation and Long Run Equilibria in Games," Levine's Working Paper Archive 500, David K. Levine.
- Young, H Peyton, 1993. "The Evolution of Conventions," Econometrica, Econometric Society, vol. 61(1), pages 57-84, January. Full references (including those not matched with items on IDEAS)
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