IDEAS home Printed from https://ideas.repec.org/p/rug/rugwps/06-361.html
   My bibliography  Save this paper

The nature of the mutation process matters

Author

Listed:
  • T. DEMUYNCK
  • A. SCHOLLAERT

Abstract

The incorporation of small mutation rates has significantly improved the predictive capacity of evolutionary models. Bergin and Lipman [1996], however, demonstrate that this improvement depends entirely on the nature of the mutation process. We provide a constructive corroboration of their result: we derive matching mutation rates for each desired set of stochastic stable states.

Suggested Citation

  • T. Demuynck & A. Schollaert, 2006. "The nature of the mutation process matters," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/361, Ghent University, Faculty of Economics and Business Administration.
    • Handle: RePEc:rug:rugwps:06/361
    as

    Download full text from publisher

    File URL: http://wps-feb.ugent.be/Papers/wp_06_361.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Richard Baron & Jacques Durieu & Hans Haller & Philippe Solal, 2003. "Control costs and potential functions for spatial games," International Journal of Game Theory, Springer;Game Theory Society, vol. 31(4), pages 541-561, September.
    2. Bergin, James & Lipman, Barton L, 1996. "Evolution with State-Dependent Mutations," Econometrica, Econometric Society, vol. 64(4), pages 943-956, July.
    3. 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.
    4. Young, H Peyton, 1993. "The Evolution of Conventions," Econometrica, Econometric Society, vol. 61(1), pages 57-84, January.
    5. Blume, Lawrence E., 2003. "How noise matters," Games and Economic Behavior, Elsevier, vol. 44(2), pages 251-271, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. T. Demuynck & A. Schollaert, 2006. "Note on State Dependent Mutations as an Equilibrium Refinement Device," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/408, Ghent University, Faculty of Economics and Business Administration.
    2. 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.
    3. Desirée Desierto, 2012. "Imitation Dynamics with Spatial Poisson-Distributed Review and Mutation Rates," UP School of Economics Discussion Papers 201204, University of the Philippines School of Economics.
    4. Norman, Thomas W.L., 2009. "Rapid evolution under inertia," Games and Economic Behavior, Elsevier, vol. 66(2), pages 865-879, July.
    5. Ennio Bilancini & Leonardo Boncinelli, 2020. "The evolution of conventions under condition-dependent mistakes," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 69(2), pages 497-521, March.
    6. Mathias Staudigl, 2010. "On a General class of stochastic co-evolutionary dynamics," Vienna Economics Papers 1001, University of Vienna, Department of Economics.
    7. Bilancini, Ennio & Boncinelli, Leonardo & Nax, Heinrich H., 2021. "What noise matters? Experimental evidence for stochastic deviations in social norms," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 90(C).
    8. van Damme, E.E.C. & Weibull, J., 1998. "Evolution with Mutations Driven by Control Costs," Other publications TiSEM 197ad72d-2cb6-49c3-a875-e, Tilburg University, School of Economics and Management.
    9. Wallace, Chris & Young, H. Peyton, 2015. "Stochastic Evolutionary Game Dynamics," Handbook of Game Theory with Economic Applications,, Elsevier.
    10. Lahkar, Ratul, 2017. "Equilibrium selection in the stag hunt game under generalized reinforcement learning," Journal of Economic Behavior & Organization, Elsevier, vol. 138(C), pages 63-68.
    11. Thomas Norman, 2010. "Cycles versus equilibrium in evolutionary games," Theory and Decision, Springer, vol. 69(2), pages 167-182, August.
    12. Carlos Alós-Ferrer & Nick Netzer, 2015. "Robust stochastic stability," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 58(1), pages 31-57, January.
    13. Dietrichson, Jens & Gudmundsson, Jens & Jochem, Torsten, 2014. "Let's Talk It Over: Communication and Coordination in Teams," Working Papers 2014:2, Lund University, Department of Economics, revised 18 Apr 2018.
    14. Nax, Heinrich H. & Newton, Jonathan, 2019. "Risk attitudes and risk dominance in the long run," Games and Economic Behavior, Elsevier, vol. 116(C), pages 179-184.
    15. Dietrichson, Jens & Jochem, Torsten, 2014. "Organizational coordination and costly communication with boundedly rational agents," Comparative Institutional Analysis Working Paper Series 2014:1, Lund University, Comparative Institutional Analysis, School of Economics and Management.
    16. Sawa, Ryoji, 2021. "A stochastic stability analysis with observation errors in normal form games," Games and Economic Behavior, Elsevier, vol. 129(C), pages 570-589.
    17. Myatt, David P. & Wallace, Chris, 2008. "An evolutionary analysis of the volunteer's dilemma," Games and Economic Behavior, Elsevier, vol. 62(1), pages 67-76, January.
    18. Boncinelli, Leonardo & Pin, Paolo, 2012. "Stochastic stability in best shot network games," Games and Economic Behavior, Elsevier, vol. 75(2), pages 538-554.
    19. Bilancini, Ennio & Boncinelli, Leonardo & Newton, Jonathan, 2020. "Evolution and Rawlsian social choice in matching," Games and Economic Behavior, Elsevier, vol. 123(C), pages 68-80.
    20. Alós-Ferrer, Carlos & Netzer, Nick, 2010. "The logit-response dynamics," Games and Economic Behavior, Elsevier, vol. 68(2), pages 413-427, March.

    More about this item

    Keywords

    Evolution; Mutation;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rug:rugwps:06/361. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Nathalie Verhaeghe (email available below). General contact details of provider: https://edirc.repec.org/data/ferugbe.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.