Functional modularity in the fundamentals of economic theory: Toward an agent-based economic modeling of the evolution of technology

International Journal of Modern Physics B

Volumn 18, Issue 17-19, 2004, Pages 2376-2386

  Chen, Shu Heng ^a   Chie, Bin Tzong ^a  

^a NATIONAL CHENGCHI UNIVERSITY   (Taiwan)

Author keywords

Agent based computational economics; Functional modularity; Genetic programming; Innovation

Indexed keywords

ANALYTIC METHOD; CALCULATION; CONFERENCE PAPER; ECONOMICS; GENETICS; MATHEMATICAL MODEL; TECHNOLOGY;

EID: 7244255802     PISSN: 02179792     EISSN: None     Source Type: Journal    
DOI: 10.1142/s0217979204025403     Document Type: Conference Paper

References (10)

1. F. Allen and R. Karjalainen, Using genetic algorithms to find technical trading rules, Journal of Financial Economics 51(2), 245 (1999).
2. M. Aoki, Open models of share markets with two dominant types of participants, Journal of Economic Behavior and Organization 49, 199 (2002a).
3. M. Aoki, Applications of Ewens-Pitman-Zabell inductive methods in new economic dynamics, Proceedings of the Sixth International Conference on Complex Systems, 29 (2002b).
4. J. Banville, Kepler: A Novel (Vintage International) Vintage Books (1993).
5. G. Basalla, The Evolution of Technology (Cambridge University Press, 1988).
6. C. Ferreira, Gene expression programming: A new adaptive algorithm for solving problems, Complex Systems 13(2), 87 (2001).
7. S. Levy, Artificial Life: A Report from the Frontier Where Computers Meet Biology (Vintage, New York, 1992).
8. C. Neely, P. Weller and R. Dittmar, Is technical analysis in the foreign exchange market profitable? A genetic programming approach, Journal of Financial and Quantitative Analysis 32(4), 405 (1997).
9. A. Willihnganz, Software that writes software, Salon. Com, WWW Article (1999).
10. S. Zabell, Predicting the unpredictable, Synthese 90, 205 (1992).