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Modeling Complex Adaptive Systems with Echo

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  • Stephanie Forrest
  • Terry Jones

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

Suggested Citation

  • Stephanie Forrest & Terry Jones, 1994. "Modeling Complex Adaptive Systems with Echo," Working Papers 94-12-064, Santa Fe Institute.
    • Handle: RePEc:wop:safiwp:94-12-064
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    Cited by:

    1. Benoît Desmarchelier & Faridah Djellal & Faïz Gallouj, 2018. "Les réseaux d'innovation de service public (RISP) : un instrument d'innovation collaborative et de co-création de valeur dans le(s) service(s) public(s)," Working Papers halshs-01934290, HAL.
    2. 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).
    3. Andreas Pyka & Paul Windrum, 2003. "The self-organisation of strategic alliances," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 12(3), pages 245-268.
    4. 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.
    5. Mandal, Sandip & Ray, Santanu & Roy, Samar & Jørgensen, Sven Erik, 2007. "Investigation of thermodynamic properties in an ecological model developing from ordered to chaotic states," Ecological Modelling, Elsevier, vol. 204(1), pages 40-46.
    6. 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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