Commerce, Complexity, and Evolution: Topics in Economics, Finance, Marketing, and Management: Proceedings of the Twelfth International Symposium in Economic Theory and Econometrics

doi:10.1017/CBO9780511896682

Commerce, Complexity, and Evolution

Topics in Economics, Finance, Marketing, and Management: Proceedings of the Twelfth International Symposium in Economic Theory and Econometrics

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SARKER, RUHUL KAMRUZZAMAN, JOARDER and NEWTON, CHARLES 2003. EVOLUTIONARY OPTIMIZATION (EvOpt): A BRIEF REVIEW AND ANALYSIS. International Journal of Computational Intelligence and Applications, Vol. 03, Issue. 04, p. 311.

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Sarker, R.A. 2003. Evolutionary algorithms for optimization: do we get effective solutions?. p. 404.

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Sarker, Ruhul and Namatame, Akira 2004. Solving Transshipment Problem using EAs: How Good are the Solutions?. IEEJ Transactions on Electronics, Information and Systems, Vol. 124, Issue. 10, p. 1964.

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McBurney, Peter 2017. Complexity, Science and Society. p. 93.

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Al-Janabi, Mohammed Ahmed Al-Fatlawi, Omar F. Sadiq, Dhifaf J. Mahmood, Haider Abdulmuhsin and Al-Juboori, Mustafa Alaulddin 2021. Numerical Simulation of Gas Lift Optimization Using Artificial Intelligence for a Middle Eastern Oil Field.

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Edited by William A. Barnett, Washington University, Missouri, Carl Chiarella, University of Technology, Sydney, Steve Keen, University of Western Sydney Macarthur, Robert Marks, Australian Graduate School of Management, Hermann Schnabl, Universität Stuttgart

Publisher:: Cambridge University Press
Online publication date:: December 2011
Print publication year:: 2000
Online ISBN:: 9780511896682
DOI:: https://doi.org/10.1017/CBO9780511896682

Subjects:: Economics, Econometrics and Mathematical Methods, Finance and Accountancy
Series:: International Symposia in Economic Theory and Econometrics (12)

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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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Commerce, Complexity, and Evolution

Topics in Economics, Finance, Marketing, and Management: Proceedings of the Twelfth International Symposium in Economic Theory and Econometrics

This Book has been cited by the following publications. This list is generated based on data provided by Crossref.

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Contents

Frontmatter
pp i-vi

Contents
pp vii-viii

Series editor's preface
pp ix-xii

Volume editors' preface
pp xiii-xx

Editors
pp xxi-xxiv

List of contributors
pp xxv-xxviii

I - Philosophical and methodological implications of complexity and evolution in economic systems
pp 1-2

1 - Toward a generalized Coase theorem: a theory of the emergence of social and institutional structures under imperfect information
pp 3-20

2 - Universal Darwinism and social research: the case of economics
pp 21-36

3 - Uncertainty, risk, and chaos
pp 37-60

4 - The role of innovation in economics
pp 61-80

II - Finance and the macroeconomy
pp 81-82

5 - The nonlinear economics of debt deflation
pp 83-110

6 - The emergence of complex dynamics in a “naturally” nonlinear integrated Keynesian model of monetary growth
pp 111-146

7 - Stochastic volatility in interest rates and complex dynamics in velocity
pp 147-172

8 - A genetic-programming-based approach to the generation of foreign-exchange trading models
pp 173-190

9 - Hybrid option pricing with an optimal weighted implied standard deviation
pp 191-212

III - Market and sectoral dynamics
pp 213-214

10 - Evolutionary patterns of multisectoral growth dynamics
pp 215-232

11 - The detection of evolutionary change in nonlinear economic processes: a new statistical methodology
pp 233-252

12 - Ergodic chaos in a piecewise linear cobweb model
pp 253-266

13 - The cobweb model and a modified genetic algorithm
pp 267-276

14 - The convergence of genetic learning algorithms, with particular reference to recent cobweb models
pp 277-288

IV - Marketing and interdependent behavior
pp 289-290

15 - A complex-systems simulation approach to evaluating plan-based and reactive trading strategies
pp 291-312

16 - Genetic algorithms and evolutionary games
pp 313-334

17 - Evolved perception and the validation of simulation models
pp 335-350

18 - The application of cellular-automata and agent models to network externalities in consumers' theory: a generalization-of-life game
pp 351-372

19 - Engendering change
pp 373-394

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Commerce, Complexity, and Evolution

Topics in Economics, Finance, Marketing, and Management: Proceedings of the Twelfth International Symposium in Economic Theory and Econometrics

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