IDEAS home Printed from https://ideas.repec.org/a/ecj/econjl/v115y2005i504pf211-f224.html
   My bibliography  Save this article

Complex Evolutionary Systems and the Red Queen

Author

Listed:
  • Arthur J. Robson

Abstract

Some of the most obvious complex adaptive systems are biological. A key concern in biology is how the overall properties of systems relate to the behaviour of their components. Competition between these components in the form of an arms race, the 'Red Queen effect', helps explain the trend towards more complex organisms. This effect helps explain why these biological systems became and remained complex. It may well also have driven the most distinctive and economically relevant of human biological characteristics - high intelligence. Analogously, competition in the form of the Red Queen effect is a promising avenue of research within economics. Copyright 2005 Royal Economic Society.

Suggested Citation

  • Arthur J. Robson, 2005. "Complex Evolutionary Systems and the Red Queen," Economic Journal, Royal Economic Society, vol. 115(504), pages 211-224, June.
    • Handle: RePEc:ecj:econjl:v:115:y:2005:i:504:p:f211-f224
    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. repec:hal:journl:hal-04666299 is not listed on IDEAS
    2. Ron Martin & Peter Sunley, 2010. "Complexity Thinking and Evolutionary Economic Geography," Chapters, in: Ron Boschma & Ron Martin (ed.), The Handbook of Evolutionary Economic Geography, chapter 4, Edward Elgar Publishing.
    3. Herrmann-Pillath, Carsten, 2015. "Energy, growth, and evolution: Towards a naturalistic ontology of economics," Ecological Economics, Elsevier, vol. 119(C), pages 432-442.
    4. Tim Cochrane & James Maclaurin, 2012. "Evolvability and progress in evolutionary economics," Journal of Bioeconomics, Springer, vol. 14(2), pages 101-114, July.
    5. Richard Horan & Erwin Bulte & Jason Shogren, 2008. "Coevolution of human speech and trade," Journal of Economic Growth, Springer, vol. 13(4), pages 293-313, December.
    6. Sun, Jiazhe & Wu, Shunan & Yang, Kaizhong, 2018. "An ecosystemic framework for business sustainability," Business Horizons, Elsevier, vol. 61(1), pages 59-72.
    7. Horan, Richard D. & Shogren, Jason F. & Bulte, Erwin H., 2011. "Joint determination of biological encephalization, economic specialization," Resource and Energy Economics, Elsevier, vol. 33(2), pages 426-439, May.
    8. Herrmann-Pillath, Carsten, 2008. "Neuroeconomics, naturalism and language," Frankfurt School - Working Paper Series 108, Frankfurt School of Finance and Management.

    More about this item

    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:ecj:econjl:v:115:y:2005:i:504:p:f211-f224. 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: Wiley-Blackwell Digital Licensing or Christopher F. Baum (email available below). General contact details of provider: https://edirc.repec.org/data/resssea.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.