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Commerce, Complexity, and Evolution: Topics in Economics, Finance, Marketing, and Management: Proceedings of the Twelfth Interna
Paperback / softback
Main Details
Title |
Commerce, Complexity, and Evolution: Topics in Economics, Finance, Marketing, and Management: Proceedings of the Twelfth Interna
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Authors and Contributors |
Edited by William A. Barnett
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Edited by Carl Chiarella
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Edited by Steve Keen
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Edited by Robert Marks
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Edited by Hermann Schnabl
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Series | International Symposia in Economic Theory and Econometrics |
Physical Properties |
Format:Paperback / softback | Pages:424 | Dimensions(mm): Height 229,Width 152 |
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Category/Genre | Econometrics |
ISBN/Barcode |
9780521088213
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Classifications | Dewey:330.0151 330.015 |
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Audience | Professional & Vocational | |
Illustrations |
37 Tables, unspecified; 110 Line drawings, unspecified
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Publishing Details |
Publisher |
Cambridge University Press
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Imprint |
Cambridge University Press
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Publication Date |
30 October 2008 |
Publication Country |
United Kingdom
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Description
Commerce, Complexity, and Evolution is a significant contribution to the paradigm - straddling economics, finance, marketing, and management - which acknowledges that commercial systems are evolutionary, and must therefore be analysed using evolutionary tools. Evolutionary systems display complicated behaviours which are to a significant degree generated endogenously, rather than being solely the product of exogenous shocks, hence the conjunction of complexity with evolution. This volume considers a wide range of systems, from the entire economy at one extreme to the behaviour of single markets at the other. The papers are united by methodologies which at their core are evolutionary, though the techniques cover a wide range, from philosophical discourse to differential equations, genetic algorithms, multi-agent simulations and cellular automata. Issues considered include the dynamics of debt-deflation, stock management in a complex environment, interactions between consumers and its effect upon market behaviour, and nonlinear methods to profit from financial market volatility.
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