Few will argue that the epi-phenomena of biological systems and socio-economic systems are anything but complex. The purpose of this Feature is to examine critically and contribute to the burgeoning multi-disciplinary literature on markets as complex adaptive systems (CAS). The new sciences of complexity, the principles of self-organisation and emergence along with the methods of evolutionary computation and artificially intelligent agent models have been developed in a multi-disciplinary fashion. The cognoscenti here consider that complex systems whether natural or artificial, physical, biological or socio-economic can be characterised by a unifying set of principles. Further, it is held that these principles mark a paradigm shift from earlier ways of viewing such phenomenon. Copyright 2005 Royal Economic Society.
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Volume (Year): 115 (2005) Issue (Month): 504 (06) Pages: F159-F192 Download reference. The following formats are available: HTML
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George J. Mailath & Larry Samuelson & Avner Shaked, 1997.
"Endogenous Interactions,"
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endo-one, University of Pennsylvania Center for Analytic Research and Economics in the Social Sciences.
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