IDEAS home Printed from https://ideas.repec.org/p/usu/wpaper/2004-02.html
   My bibliography  Save this paper

The Equivalence of Evolutionary Games and Distributed Monte Carlo Learning

Author

Listed:
  • Yuya Sasaki

Abstract

This paper presents a tight relationship between evolutionary game theory and distributed intelligence models. After reviewing some existing theories of replicator dynamics and distributed Monte Carlo learning, we make formulations and proofs of the equivalence between these two models. The relationship will be revealed not only from a theoretical viewpoint, but also by experimental simulations of the models by taking a simple symmetric zero-sum game as an example. As a consequence, it will be verified that seemingly chaotic macro dynamics generated by distributed micro-decisions can be explained with theoretical models.

Suggested Citation

  • Yuya Sasaki, 2004. "The Equivalence of Evolutionary Games and Distributed Monte Carlo Learning," Working Papers 2004-02, Utah State University, Department of Economics.
    • Handle: RePEc:usu:wpaper:2004-02
    as

    Download full text from publisher

    File URL: https://repec.bus.usu.edu/RePEc/usu/pdf/ERI2004-02.pdf
    File Function: First version, 2004
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    evolutionary game; replicator dynamics; agent based models; Monte Carlo learning; recency-weighted learning;
    All these keywords.

    JEL classification:

    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

    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:usu:wpaper:2004-02. 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.

    We have no bibliographic 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.

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