IDEAS home Printed from https://ideas.repec.org/h/spr/lnechp/978-3-540-27296-0_5.html
   My bibliography  Save this book chapter

Crowd Effects in Competitive, Multi-Agent Populations and Networks

In: Nonlinear Dynamics and Heterogeneous Interacting Agents

Author

Listed:
  • Neil F. Johnson

    (Oxford University)

  • Sehyo C. Choe

    (Oxford University)

  • Sean Gourley

    (Oxford University)

  • Timothy Jarrett

    (Oxford University)

  • Pak Ming Hui

    (Chinese University of Hong Kong)

Abstract

Summary We discuss a crowd-based theory for describing the collective dynamical behavior of a population of competitive agents in a model market setting. This Crowd-Anticrowd theory, which incorporates the strong correlations between agents' strategies, provides a quantitative description of the fluctuations in the excess demand of this model.

Suggested Citation

  • Neil F. Johnson & Sehyo C. Choe & Sean Gourley & Timothy Jarrett & Pak Ming Hui, 2005. "Crowd Effects in Competitive, Multi-Agent Populations and Networks," Lecture Notes in Economics and Mathematical Systems, in: Thomas Lux & Eleni Samanidou & Stefan Reitz (ed.), Nonlinear Dynamics and Heterogeneous Interacting Agents, pages 55-70, Springer.
    • Handle: RePEc:spr:lnechp:978-3-540-27296-0_5
    DOI: 10.1007/3-540-27296-8_5
    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.

    Citations

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


    Cited by:

    1. Kunyu Song & Kenan An & Guang Yang & Jiping Huang, 2012. "Risk-Return Relationship in a Complex Adaptive System," PLOS ONE, Public Library of Science, vol. 7(3), pages 1-8, March.

    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_5. 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.