IDEAS home Printed from https://ideas.repec.org/a/spr/joevec/v11y2001i5p479-499.html
   My bibliography  Save this article

When will payoff maximization survive? An indirect evolutionary analysis

Author

Listed:
  • Werner G, th

    () (Max Planck Institute for Research into Economic Systems, Strategic Interaction Group, Kahlaische Stra, e 10, 07745 Jena)

  • Bezalel Peleg

    (Center for Rationality and Interactive Decision Theory, The Hebrew University of Jerusalem, Feldman Building, Givat Ram, 91904 Jerusalem, Israel)

Abstract

Survival of payoff maximization is the usual as if-justification for assuming rational economic agents. An indirect evolutionary analysis allows for stimuli which are not directly related to reproductive success although they affect behavior. One first determines the solution for all possible constellations of stimuli, and then the evolutionarily stable stimuli. Our general analysis confirms the special results of former studies that payoff maximization in case of commonly known stimuli requires either that own success does not depend on other's behavior or that other's behavior is not influenced by own stimuli. When stimuli are private information, one can derive similar necessary conditions.

Suggested Citation

  • Werner G, th & Bezalel Peleg, 2001. "When will payoff maximization survive? An indirect evolutionary analysis," Journal of Evolutionary Economics, Springer, vol. 11(5), pages 479-499.
  • Handle: RePEc:spr:joevec:v:11:y:2001:i:5:p:479-499
    as

    Download full text from publisher

    File URL: http://link.springer.de/link/service/journals/00191/papers/1011005/10110479.pdf
    Download Restriction: Access to the full text of the articles in this series is restricted

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Werner Güth & Loreto Erviti & Anthony Ziegelmeyer, 2011. "Asymmetric information without common priors: an indirect evolutionary analysis of quantity competition," Journal of Evolutionary Economics, Springer, vol. 21(5), pages 843-852, December.
    2. Heifetz, Aviad & Shannon, Chris & Spiegel, Yossi, 2007. "What to maximize if you must," Journal of Economic Theory, Elsevier, vol. 133(1), pages 31-57, March.
    3. Werner Güth & Stefan Napel, 2006. "Inequality Aversion in a Variety of Games - An Indirect Evolutionary Analysis," Economic Journal, Royal Economic Society, vol. 116(514), pages 1037-1056, October.
    4. Aviad Heifetz & Chris Shannon & Yossi Spiegel, 2007. "The Dynamic Evolution of Preferences," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 32(2), pages 251-286, August.
    5. Thomas Norman, 2004. "Dynamically Stable Preferences," Economics Series Working Papers 207, University of Oxford, Department of Economics.
    6. Aviad Heifetz & Chris Shannon & Yossi Spiegel, 2002. "What to Maximize if You Must," Levine's Working Paper Archive 506439000000000063, David K. Levine.
    7. Heifetz, Aviad & Shannon, Chris & Spiegel, Yossi, 2002. "What to Maximize If You Must," Department of Economics, Working Paper Series qt0hj6631n, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    8. Werner Güth & Anthony ZIEGELMEYER & Loreto LLORENTE ERVITI, 2004. "Quantity Competition under Asymmetric Information without Common Priors: An Indirect Evolutionary Approach," Papers on Strategic Interaction 2003-32, Max Planck Institute of Economics, Strategic Interaction Group.
    9. Siegfried Berninghaus & Werner G³th & Hartmut Kliemt, 2003. "Reflections on Equilibrium: Ideal Rationality and Analytic Decomposition of Games," Homo Oeconomicus, Institute of SocioEconomics, vol. 20, pages 257-302.
    10. Weibull, Jörgen & Salomonsson, Marcus, 2005. "Natural selection and social preferences," SSE/EFI Working Paper Series in Economics and Finance 588, Stockholm School of Economics, revised 27 Sep 2005.
    11. Werner Güth & Gerlinde Fellner & Ev Martin, 2006. "Satisficing or Optimizing? - An Experimental Study," Papers on Strategic Interaction 2006-11, Max Planck Institute of Economics, Strategic Interaction Group.
    12. Werne Güth & Hartmut Kliemt, 2009. "Evolutionstheorie und Ökonomik," Papers on Strategic Interaction 2009-13, Max Planck Institute of Economics, Strategic Interaction Group.
    13. Smith, Peter, 2004. "Reworking the Standard Model of Competitive Markets: The Role of Fuzzy Logic and Genetic Algorithms in Modelling Complex Non-Linear Economic System," General Discussion Papers 30569, University of Manchester, Institute for Development Policy and Management (IDPM).

    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:spr:joevec:v:11:y:2001:i:5:p:479-499. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: http://www.springer.com .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.