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Evolution with Mutations Driven by Control Costs

Author

Listed:
  • Weibull, Jörgen W.

    (The Research Institute of Industrial Economics)

  • van Damme, Eric

    (Center for Economic Research)

Abstract

Bergin and Lipman (1996) show that the refinement effect from the random mutations in the adaptive dynamics in Kandori, Mailath and Rob (1993) and Young (1993) is due to restrictions on how these mutation rates vary across population states. We here model these mutation rates as endogenously determined mistake probabilities, by assuming that players at some cost or disutility can control their mistake probability, i.e., the probability of implementing another pure strategy than intented. This is shown to corroborate the result in Kandori-Mailath-Rob and Young that the risk-dominant equilibrium is selected in 2 x 2-coordination games.

Suggested Citation

  • Weibull, Jörgen W. & van Damme, Eric, 1998. "Evolution with Mutations Driven by Control Costs," Working Paper Series 501, Research Institute of Industrial Economics.
    • Handle: RePEc:hhs:iuiwop:0501
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    Citations

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    Cited by:

    1. Levine, David K. & Pesendorfer, Wolfgang, 2007. "The evolution of cooperation through imitation," Games and Economic Behavior, Elsevier, vol. 58(2), pages 293-315, February.
    2. Edward Droste & Robert P. Gilles & Cathleen Johnson, 2000. "Evolution of Conventions in Endogenous Social Networks," Econometric Society World Congress 2000 Contributed Papers 0594, Econometric Society.
    3. Kosfeld, Michael, 2002. "Why shops close again: An evolutionary perspective on the deregulation of shopping hours," European Economic Review, Elsevier, vol. 46(1), pages 51-72, January.
    4. Michael Kosfeld, 2002. "Stochastic strategy adjustment in coordination games," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 20(2), pages 321-339.
    5. van Damme, Eric & Weibull, Jörgen W., 1999. "Evolution and Refinement with Endogenous Mistake Probabilities," Working Paper Series 525, Research Institute of Industrial Economics.
    6. Myatt, David P. & Wallace, Chris C., 2004. "Adaptive play by idiosyncratic agents," Games and Economic Behavior, Elsevier, vol. 48(1), pages 124-138, July.
    7. David K Levine & Wolfgang Pesendorfer, 2000. "Evolution Through Imitation in a Single Population," Levine's Working Paper Archive 2122, David K. Levine.
    8. Ivar Kolstad, 2005. "Evolution With Endogenous Mutations," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 229-240.
    9. Oddvar M. Kaarbøe & Alexander F. Tieman, 0000. "Equilibrium Selection in Games with Macroeconomic Complementarities," Tinbergen Institute Discussion Papers 99-096/1, Tinbergen Institute.
    10. Nyborg, Karine & Telle, Kjetil, 2004. "The role of warnings in regulation: keeping control with less punishment," Journal of Public Economics, Elsevier, vol. 88(12), pages 2801-2816, December.

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    Keywords

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    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

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