Computability and Evolutionary Complexity: Markets as Complex Adaptive Systems (CAS)
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.
Year of publication: |
2005
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Authors: | Markose, Sheri M. |
Published in: |
Economic Journal. - Royal Economic Society - RES, ISSN 1468-0297. - Vol. 115.2005, 504, p. 159-159
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Publisher: |
Royal Economic Society - RES |
Saved in:
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