Simultaneous Evolution of Learning Rules and Strategies
We study a model of local evolution. Players are located on a network and play games agains their neighbors. Players are characterized by three properties: (1) The stage game strategies they use agains their neighbors. (2) The repeated game strategy that determines the former. (3) A learning rule that selects the repeated game strategy, on the basis of the player's own and the neighbors' payoff and repeated game strategy. The dynamics that specifies learning rules is given exogenously. Players sample their neighbors' learning rules and their respective payoff. Then they construct a model that related parameters of the learning rules to payoffs. Given this model they choose an optimal learning rule. We find that under this dynamics learning rules emerge in the long run which behave deterministically but which are asymmetric in the sense that while learning they put more weight on the learning players experience then on the observed players one. Nevertheless stage game behavior under these learning rules is similar to behavior using symmetric learning rules.
|Date of creation:||May 1996|
|Date of revision:|
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- Schlag,Karl, . "Dynamic stability in the repeated prisoners dilemma," Discussion Paper Serie B 243, University of Bonn, Germany.
- Eshel, I. & Samuelson, L. & Shaked, A., 1996.
"Altruists, Egoists and Hooligans in a Local Interaction Model,"
9612r, Wisconsin Madison - Social Systems.
- Binmore, Ken & Larry Samuelson, 1994.
"Muddling Through: Noisy Equilibrium Selection,"
Discussion Paper Serie B
275, University of Bonn, Germany.
- Ken Binmore & Larry Samuelson, 1994. "Muddling Through: Noisy Equilibrium Selection," Game Theory and Information 9410002, EconWPA.
- Binmore, K. & samuelson, L., 1996. "Muddling Through : Noisy Equilibrium Section," Working papers 9410r, Wisconsin Madison - Social Systems.
- Ken Binmore & Larry Samuelson, 1994. "Muddling Through:Noisy Equilibrium Selection," Game Theory and Information 9403005, EconWPA, revised 29 Mar 1994.
- Oliver Kirchkamp, 1994.
"Spatial Evolution of Automata in the Prisoners' Dilemma,"
Game Theory and Information
9403003, EconWPA, revised 18 May 1994.
- Kirchkamp, Oliver, 2000. "Spatial evolution of automata in the prisoners' dilemma," Journal of Economic Behavior & Organization, Elsevier, vol. 43(2), pages 239-262, October.
- Kirchkamp, Oliver, 1995. "Spatial Evolution of Automata in the Prisoners' Dilemma," Discussion Paper Serie B 330, University of Bonn, Germany.
- Glen Ellison, 2010.
"Learning, Local Interaction, and Coordination,"
Levine's Working Paper Archive
391, David K. Levine.
- Eshel, Ilan & Samuelson, Larry & Shaked, Avner, 1998. "Altruists, Egoists, and Hooligans in a Local Interaction Model," American Economic Review, American Economic Association, vol. 88(1), pages 157-79, March.
- K. Schlag, 2010.
"Why Imitate, and if so, How? Exploring a Model of Social Evolution,"
Levine's Working Paper Archive
454, David K. Levine.
- Schlag, Karl H., 1994. "Why Imitate, and if so, How? Exploring a Model of Social Evolution," Discussion Paper Serie B 296, University of Bonn, Germany.
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