IDEAS home Printed from https://ideas.repec.org/h/spr/lnechp/978-3-540-27296-0_6.html
   My bibliography  Save this book chapter

Local Minority Game and Emergence of Efficient Dynamic Order

In: Nonlinear Dynamics and Heterogeneous Interacting Agents

Author

Listed:
  • Hiroshi Sato

    (National Defense Academy)

  • Akira Namatame

    (National Defense Academy)

Abstract

Summary The Minority Games is a good examples of asymmetric coordination problems that are well suited to represent some economic situations. Normally agents play the game with all other agents and this type of game is called Global Minority Game (GMG). If agents play the game only with their neighbors it is called Local Minority Game (LMG). This distinction aims to introduce the limited ability of the agent to receive, decide, and act upon information in the course of interaction. An agent is modeled with its rules and they are updated and selected by natural selection. We propose the rule of give-and-take that is completely different from the conventional rules. With the rule of give-and-take, an agent gives to others when he receives a payoff. On the contrary, a conventional agent only pursues his benefit. We show that the simulation results of give-and-take agents are significantly better than that of selfish agents in both GMG and LMG. We also discuss spatio-temporal patterns and optimality in LMG and whether it can be obtained by evolutionary learning agents.

Suggested Citation

  • Hiroshi Sato & Akira Namatame, 2005. "Local Minority Game and Emergence of Efficient Dynamic Order," Lecture Notes in Economics and Mathematical Systems, in: Thomas Lux & Eleni Samanidou & Stefan Reitz (ed.), Nonlinear Dynamics and Heterogeneous Interacting Agents, pages 71-85, Springer.
  • Handle: RePEc:spr:lnechp:978-3-540-27296-0_6
    DOI: 10.1007/3-540-27296-8_6
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:lnechp:978-3-540-27296-0_6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.