Computability and evolutionary complexity: Markets as complex adaptive systems (CAS)

• 成果类型: Review
• 署名作者: Markose, SM
• 署名单位: University of Essex
• 刊物名称: ECONOMIC JOURNAL
• ISSN/ISSBN: 0013-0133
• DOI: 10.1111/j.1468-0297.2005.01000.x
• 发表日期: 2005
• 页码: F159-F192
• 关键词: red-queen; expectations; criticality; DYNAMICS; traders; game; LAW

摘要

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.