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Computability and Evolutionary Complexity

Markets as Complex Adaptive Systems (CAS)

Bibliographic Data

ID9714950
AuthorsSheri M Markose (0000-0001-6181-0654, University of Essex, corresponding author)
Year2005
Volume115
Issue504
PagesF159-F192
Publication date2005-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe Economic Journal (JOURNAL)
Journal identifiersISSN: 0013-0133 • E-ISSN: 1468-0297
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1111/j.1468-0297.2005.01000.x
OpenAlexW1980147908
LanguageEN
Citations received14
References cited64

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

Cognitive science · Complex adaptive system · Complex system · Complexity science · Computability · Data science · Discipline · Economics · Evolutionary Economics · Management science · Neoclassical economics · Set (abstract data type · Social science · Sociology · Artificial Intelligence · Complex Systems and Time Series Analysis · Computer Science · Economic theories and models · Economic Theory and Institutions · Psychology · Theoretical Computer Science

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Unique citing works14
Citations per year0,7
Citation span2006 - 2024 (19)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 14

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