By Shu-Heng Chen (auth.), Professor Shu-Heng Chen (eds.)
After a decade's improvement, evolutionary computation (EC) proves to be a strong instrument equipment for monetary research. whereas the call for for this gear is expanding, there's no quantity completely written for economists. This quantity for the 1st time is helping economists to get a short take hold of on how EC might help their study. A entire insurance of the topic is given, that incorporates the next 3 components: video game idea, agent-based financial modelling and fiscal engineering. Twenty prime students from each one of those components give a contribution a bankruptcy to the quantity. The reader will locate himself/herself treading the trail of the historical past of this study zone, from the fledgling degree to the burgeoning period. the consequences on video games, labour markets, pollutants keep watch over, establishment and productiveness, monetary markets, buying and selling structures layout and by-product pricing, are new and engaging for various aim teams. The e-book additionally comprises informations on worthy sites, meetings, and desktop software.
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Extra resources for Evolutionary Computation in Economics and Finance
The Economy as an Evolving Complex System II. Addison-Wesley, Reading, MA, 15-44 26 Shu-Heng Chen 13. Axelrod R. (1987) The Evolution of Strategies in the Iterated Prisoner's Dilemma. In: Davis L. ), Genetic Algorithms and Simulated Annealing. Pittman, London, 32-41 14. , Pryor R. J. (1997) Growing a Market Economy. Sandia Report SAND97-2093. 15. Bauer R. J. , Liepins G. E. (1992) Genetic Algorithms and Computerized Trading Strategies. In: O'leary D. , Watkins, R. R. ), Expert Systems in Finance, North Holland.
J. , Liepins G. E. (1992) Genetic Algorithms and Computerized Trading Strategies. In: O'leary D. , Watkins, R. R. ), Expert Systems in Finance, North Holland. 16. Bauer R. J. Jr. (1994) Genetic Algorithms and Investment Strategies. Wiley, New York. 17. , Terna P. (1996) Neural Networks for Economic and Financial Modelling. Thomson. 18. , Zumbach G. (1998) Representational Semantics for Genetic Programming based Learning in High-Frequency Financial Data. , Riolo R. ), Proceedings of the Third Annual Genetic Programming Conference.
The recent volume edited by Brenner , on computational techniques of modelling learning in economics, includes several papers of interest, in particular Beckenbach  on how the GA can be re-shaped as a tool for economic modelling, specifically to model learning. 8 Replicator Dynamics But the GA is not the only technique to come from biology into economics. Convergence of a kind was occurring as economics in general, and game theory in particular, was borrowing insights from a second source in biology.
Evolutionary Computation in Economics and Finance by Shu-Heng Chen (auth.), Professor Shu-Heng Chen (eds.)