IDEAS home Printed from https://ideas.repec.org/p/isu/genres/12974.html
   My bibliography  Save this paper

Agent-Based Computational Economics: Modeling Economies As Complex Adaptive Systems

Author

Listed:
  • Tesfatsion, Leigh S.

Abstract

Agent-based computational economics (ACE) is the computational study of economies modeled as dynamic systems of interacting agents. Thus, ACE is a specialization to economics of the basic complex adaptive systems paradigm. This paper outlines the main objectives and defining characteristics of the ACE methodology, and disusses several active application areas. Annotated pointers to related work can be accessed here: http://www2.econ.iastate.edu/tesfatsi/ace.htm

Suggested Citation

  • Tesfatsion, Leigh S., 2008. "Agent-Based Computational Economics: Modeling Economies As Complex Adaptive Systems," Staff General Research Papers Archive 12974, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genres:12974
    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.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Situngkir, Hokky, 2011. "Pengertian dari dan untuk ketakmengertian: Social Complexity sebagai cara pandang baru dalam memahami fenomena sosial [Understanding from and to the inability to understand: Social Complexity as a ," MPRA Paper 30871, University Library of Munich, Germany.
    2. McArthur, David & Thorsen, Inge & Ubøe, Jan, 2008. "An agent-based computational approach to explaining persistent spatial unemployment disparities," Discussion Papers 2008/17, Norwegian School of Economics, Department of Business and Management Science.
    3. McArthur, David Philip & Thorsen, Inge & Ubøe, Jan, 2009. "Congested Interregional Infrastructure, Road Pricing and Regional Labour Markets," Discussion Papers 2009/3, Norwegian School of Economics, Department of Business and Management Science.

    More about this item

    Keywords

    agent-based computational economics; complex adaptive systems;

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • D - Microeconomics
    • E - Macroeconomics and Monetary Economics

    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:isu:genres:12974. 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: Curtis Balmer (email available below). General contact details of provider: https://edirc.repec.org/data/deiasus.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.