IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v321y2003i1p318-324.html
   My bibliography  Save this article

Efficient resource distribution in a minority game with a biased pool of strategies

Author

Listed:
  • Yip, K.F.
  • Hui, P.M.
  • Lo, T.S.
  • Johnson, N.F.

Abstract

The minority game (MG) is an agent-based model of a competing population with limited resources. We propose and study a modified model based on the MG in which the pool of strategies is biased, i.e., some strategies are more often picked by agents than others. It is found that the fluctuation in the number of agents making a particular choice over time is suppressed in the crowded phase of the MG when a bias is imposed. The suppressed fluctuation is related to the more effective formation of crowd and anticrowd. Accompanying the suppressed fluctuation is an enhanced success rate among the agents and thus a more efficient distribution of resources in a population of intrinsically selfish agents. The effect of biasing the strategies is also studied within the context of strategy-play among the agents.

Suggested Citation

  • Yip, K.F. & Hui, P.M. & Lo, T.S. & Johnson, N.F., 2003. "Efficient resource distribution in a minority game with a biased pool of strategies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 321(1), pages 318-324.
  • Handle: RePEc:eee:phsmap:v:321:y:2003:i:1:p:318-324
    DOI: 10.1016/S0378-4371(02)01795-8
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437102017958
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/S0378-4371(02)01795-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Lustosa, Bernardo C. & Cajueiro, Daniel O., 2010. "Constrained information minority game: How was the night at El Farol?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(6), pages 1230-1238.
    2. Linde, Jona & Sonnemans, Joep & Tuinstra, Jan, 2014. "Strategies and evolution in the minority game: A multi-round strategy experiment," Games and Economic Behavior, Elsevier, vol. 86(C), pages 77-95.

    More about this item

    Keywords

    Agent-based models; Econophysics;

    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:eee:phsmap:v:321:y:2003:i:1:p:318-324. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.