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Simultaneous Evolution of Learning Rules and Strategies

  • Kirchkamp, Oliver

    ()

    (Sonderforschungsbereich 504)

We study a model of local evolution. Agents are located on a network and interact strategically with their neighbours. Strategies are chosen with the help of learning rules that are based on the success of strategies observed in the neighbourhood. The standard literature on local evolution assumes learning rules to be exogenous and fixed. In this paper we consider a specific evolutionary dynamics that determines learning rules endogenously. We find with the help of simulations that in the long run learning rules behave rather deterministically but are asymmetric in the sense that while learning they put more weight on the learning players' experience than on the observed players' one. Nevertheless stage game behaviour under these learning rules is similar to behaviour with symmetric learning rules.

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Paper provided by Sonderforschungsbereich 504, Universität Mannheim & Sonderforschungsbereich 504, University of Mannheim in its series Sonderforschungsbereich 504 Publications with number 98-46.

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Length: 34 pages
Date of creation: 15 Jun 1996
Date of revision:
Handle: RePEc:xrs:sfbmaa:98-46
Note: I am grateful for financial support from the Deutsche Forschungsgemeinschaft through SFB 303 and SFB 504. Parts of this paper were written at the European University Institute (EUI), Florence. I am very grateful for the hospitality and the support that I received from the EUI. I thank Georg N\
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  1. Ken Binmore & Larry Samuelson, 1994. "Muddling Through: Noisy Equilibrium Selection," Game Theory and Information 9410002, EconWPA.
  2. 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.
  3. K. Schlag, 2010. "Why Imitate, and if so, How? Exploring a Model of Social Evolution," Levine's Working Paper Archive 454, David K. Levine.
  4. repec:att:wimass:9612 is not listed on IDEAS
  5. 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.
  6. Oliver Kirchkamp, 1994. "Spatial Evolution of Automata in the Prisoners' Dilemma," Game Theory and Information 9403003, EconWPA, revised 18 May 1994.
  7. Eshel, I. & Samuelson, L. & Shaked, A., 1996. "Altruists, Egoists and Hooligans in a Local Interaction Model," Working papers 9612r, Wisconsin Madison - Social Systems.
  8. Schlag,Karl, . "Dynamic stability in the repeated prisoners dilemma," Discussion Paper Serie B 243, University of Bonn, Germany.
  9. Ellison, Glenn, 1993. "Learning, Local Interaction, and Coordination," Econometrica, Econometric Society, vol. 61(5), pages 1047-71, September.
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