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Modeling Complex Adaptive Systems with Echo

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  • Stephanie Forrest
  • Terry Jones
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    Abstract

    Complex adaptive systems (CAS) consist of many interacting and adapting components. Echo is a computational CAS model in which evolving agents are situated in a resource-limited environment. Different views of the notion of species within Echo are compared to biological experiments on relative species abundance, specifically to Preston's "canonical" lognormal distribution

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    Bibliographic Info

    Paper provided by Santa Fe Institute in its series Working Papers with number 94-12-064.

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    Date of creation: Dec 1994
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    Handle: RePEc:wop:safiwp:94-12-064

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    Cited by:
    1. Hinich, Melvin J. & Foster, John & Wild, Phillip, 2006. "Structural change in macroeconomic time series: A complex systems perspective," Journal of Macroeconomics, Elsevier, vol. 28(1), pages 136-150, March.
    2. Andreas Pyka & Paul Windrum, 2001. "The Self-Organisation of Strategic Alliances," Discussion Paper Series 209, Universitaet Augsburg, Institute for Economics.
    3. Pyka,Andreas & Windrum,Paul, 2000. "The Self-Organisation of Innovation Networks," Research Memorandum 020, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    4. Mark A. Bedau & Emile Snyder & Norman H. Packard, 1998. "Classification of Long-Term Evolutionary Dynamics," Working Papers 98-03-025, Santa Fe Institute.

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