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Complex Evolutionary Systems and the Red Queen

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  • 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
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    Cited by:

    1. Patricia Laurens & Christian Le Bas & Linh-Chi Vo, 2024. "Evolution of academic research in French business schools (2008-2018): isomorphism and heterogeneity," Post-Print hal-04666299, HAL.
    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.

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