IDEAS home Printed from https://ideas.repec.org/p/wop/safiwp/94-06-031.html
   My bibliography  Save this paper

Divide to Coordinate: Coevolutionary Problem Solving

Author

Listed:
  • Stuart Kauffman
  • William G. Macready
  • Emily Dickinson

Abstract

Optimization of systems with many conflicting constraints arises in numerous settings. Common optimization procedures seek to improve performance of the system as a whole. We show that coevolutionary problem solving, in which a system is partitioned into subsystems each of which selfishly optimizes, can lead to enhanced performance as a collective emergent property. Optimally partitioned systems often lie near a transistion from order to chaos.

Suggested Citation

  • Stuart Kauffman & William G. Macready & Emily Dickinson, 1994. "Divide to Coordinate: Coevolutionary Problem Solving," Working Papers 94-06-031, Santa Fe Institute.
    • Handle: RePEc:wop:safiwp:94-06-031
    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. Karén Hovhannisian & Marco Valente, 2005. "Modeling Directed Local Search Strategies on Technology," Computational Economics 0507001, University Library of Munich, Germany.
    2. Bennett Levitan & Jose Lobo & Stuart Kauffman & Richard Schuler, 1999. "Optimal Organization Size in a Stochastic Environment with Externalities," Working Papers 99-04-024, Santa Fe Institute.
    3. Karén Hovhannissian & Marco Valente, 2004. "Modeling Directed Local Search Strategies on Technology Landscapes: Depth and Breadth," ROCK Working Papers 028, Department of Computer and Management Sciences, University of Trento, Italy, revised 17 Jun 2008.
    4. Bill McKelvey, 1999. "Avoiding Complexity Catastrophe in Coevolutionary Pockets: Strategies for Rugged Landscapes," Organization Science, INFORMS, vol. 10(3), pages 294-321, June.
    5. Jürgen Mihm & Christoph Loch & Arnd Huchzermeier, 2003. "Problem--Solving Oscillations in Complex Engineering Projects," Management Science, INFORMS, vol. 49(6), pages 733-750, June.
    6. Karén Hovhannisian, 2004. "Imperfect Local Search Strategies on Technology Landscapes: Satisficing, Deliberate Experimentation and Memory Dependence," Computational Economics 0405009, University Library of Munich, Germany.
    7. Svenja C. Sommer & Christoph H. Loch, 2004. "Selectionism and Learning in Projects with Complexity and Unforeseeable Uncertainty," Management Science, INFORMS, vol. 50(10), pages 1334-1347, October.

    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:wop:safiwp:94-06-031. 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: Thomas Krichel (email available below). General contact details of provider: https://edirc.repec.org/data/epstfus.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.