Computational Economics: A Perspective from Computational Intelligence

Computational Economics: A Perspective from Computational Intelligence

Shu-Heng Chen, Lakhmi Jain, Chung-Ching Tai
Indexed In: SCOPUS View 1 More Indices
Release Date: November, 2005|Copyright: © 2006 |Pages: 318
DOI: 10.4018/978-1-59140-649-5
ISBN13: 9781591406495|ISBN10: 1591406498|EISBN13: 9781591406518
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Description & Coverage
Description:

The Computational Intelligence and its Applications Series publishes academic work based either on one of the computational intelligence techniques or on applications of these techniques to a field of human endeavor. The books may be single author monographs, multiple author editions, conference proceedings, handbooks, or edited volumes by leading researchers with chapters contributed by researchers in the field. Computational Economics: A Perspective from Computational Intelligence is a part of this series.

Computational Economics: A Perspective from Computational Intelligence provides models of various economic and financial issues while using computational intelligence as a foundation. The scope of this volume comprises finance, economics, management, organizational theory and public policies. It explains the ongoing and novel research in this field, and displays the power of these computational methods in coping with difficult problems with methods from traditional perspectives. By encouraging the discussion of different views, this book serves as an introductory and inspiring volume that helps to flourish studies in computational economics.

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Reviews & Statements

Chen, Jain, and Tai bring together a variety of interesting applications of computational intelligence approaches in their edited Computational Economics: A Perspective from Computational Intelligence book. The volume is rich with applications in financial modeling, option pricing, market-making, optimization of market strategies, optimization for traffic policy, cost estimation, policy appraisal in a criminal justice system, capital control, and solving organization theory problems.

– Mak Kaboudan, University of Redlands, USA

It will be essential reading for those from both the economics and finance, and IT communities, who wish grasp a state-of-the-art understanding of how CI can be used to solve various complicated and difficult problems from the traditional perspectives in economics and finance.

– Dr. (Tony) Xuezhong He, University of Technology, Sydney, Australia
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Editor/Author Biographies
Shu-Heng Chen is a professor in the Department of Economics and Director of Center of International Education and Exchange at the National Chengchi University. He also serves as the Director of the AI-ECON Research Center, National Chengchi University, the editor- in-chief of the Journal of New Mathematics and Natural Computation (World Scientific), the associate editor of the Journal of Economic Behavior and Organization, and the editor of the Journal of Economic Interaction and Coordination. Dr. Chen holds an M.A. degree in mathematics and a Ph. D. in Economics from the University of California at Los Angeles. He has more than 150 publications in international journals, edited volumes and conference proceedings. He has been invited to give keynote speeches and plenary talks on many international conferences. He is also the editor of the volume "Evolutionary Computation in Economics and Finance" (Plysica-Verlag, 2002), "Genetic Algorithms and Genetic Programming in Computational Finance" (Kluwer, 2002), and the co-editor of the Volume I & II of "Computational Intelligence in Economics and Finance" (Springer-Verlag, 2002 & 2007), "Multi-Agent for Mass User Support" (Springer-Verlag, 2004), “Computational Economics: A Perspective from Computational Intelligence” (IGI publisher, 2005), and “Simulated Evolution and Learning,” Lecture Notes in Computer Science, ( LNCS 4247) (Springer, 2006), as well as the guest editor of Special Issue on Genetic Programming, International Journal on Knowledge Based Intelligent Engineering Systems (2008). His research interests are mainly on the applications of computational intelligence to the agent-based computational economics and finance as well as experimental economics. Details of Shu-Heng Chen can be found at http://www.aiecon.org/ or http://www.aiecon.org/staff/shc/E_Vita.htm.
Lakhmi C. Jain, M.E., Ph.D., is Director/Founder of the Knowledge-Based Intelligent Engineering Systems (KES) Centre, located in the Division of Information Technology, Engineering and the Environment. He is a fellow of the Institution of Engineers Australia. He has initiated a postgraduate stream by research in the Knowledge-Based Intelligent Engineering systems area. Dr. Jain was the Technical Chair of the ETD2000 International Conference in 1995 and Publications Chair of the Australian and New Zealand Conference on Intelligent Information Systems in 1996.He also initiated the first International Conference on Knowledge-Based Intelligent Electronic Systems in 1997.This is now an annual event. His interests focus on the use of novel techniques such as knowledge-based systems, artificial neural networks, fuzzy systems, and genetic algorithms and the application of these techniques.
Chung-Ching Tai is currently a Ph.D. student in Department of Economics, National Chengchi University in Taiwan. He is currently a member of AI-ECON research center. He finished his master thesis in 2001. His research interests are agent-based modeling, double auction markets, and experimental economics.
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