Computability and Evolutionary Complexity: Markets as Complex Adaptive Systems (CAS)

34 Pages Posted: 6 Jul 2005

See all articles by Sheri M. Markose

Sheri M. Markose

University of Essex - Department of Economics

Abstract

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.

Suggested Citation

Markose, Sheri M., Computability and Evolutionary Complexity: Markets as Complex Adaptive Systems (CAS). Economic Journal, Vol. 115, No. 504, pp. F159-F192, June 2005, Available at SSRN: https://ssrn.com/abstract=745578

Sheri M. Markose (Contact Author)

University of Essex - Department of Economics ( email )

Wivenhoe Park
Colchester CO4 3SQ
United Kingdom
01206 87 2742 (Phone)

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
19
Abstract Views
1,256
PlumX Metrics