On the convergence of genetic learning in a double auction market

Journal of Economic Dynamics and Control

Volumn 23, Issue 9-10, 1999, Pages 1545-1567

  Dawid, Herbert ^a  

^a UNIVERSITY OF VIENNA   (Austria)

Author keywords

Bounded rationality; Double auctions; Genetic algorithms

Indexed keywords

EID: 0033193720     PISSN: 01651889     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0165-1889(98)00083-9     Document Type: Article

References (25)

1. Andreoni J., Miller J.H. Auctions with artificial adaptive agents. Games and Economic Behavior. 10:1995;39-64.
2. Arifovic J. Genetic algorithm learning and the cobweb model. Journal of Economic Dynamics and Control. 18:1994;3-28.
3. Arifovic J. Genetic algorithms and inflationary economies. Journal of Monetary Economics. 36:1995;219-243.
4. Arifovic J. The behavior of the exchange rate in the genetic algorithm and experimental economies. Journal of Political Economy. 104:1996;510-541.
5. Arifovic, J., 1996b. Strategic uncertainty and the genetic algorithm adaptation. Working paper, Simon Fraser University, Vancouver.
6. Arifovic J., Eaton C. Coordination via genetic learning. Computational Economics. 8:1995;181-203.
7. Björnerstedt, J., Weibull, J., 1996. Nash equilibrium and evolution by imitation. In: Arrow, K. et al. (Eds.), The Rational Foundations of Economic Behavior. Macmillan, London.
8. Chaterjee K., Samuelson W. Bargaining and incomplete information. Operations Research. 31:1983;835-851.
9. Chen, S.-H., Duffy, J., Yeh, C.-H., 1996. Genetic programming in the coordination game with a chaotic best-response function. In: Proceedings of the Evolutionary Programming Conference, San Diego.
10. Dawid, H., 1996a. Adaptive Learning by Genetic Algorithms: Analytical Results and Applications to Economic Models, Lecture Notes in Economics and Mathematical Systems, vol. 441. Springer, Berlin.
11. Dawid H. Learning of cycles and sunspot equilibria by genetic algorithms. Journal of Evolutionary Economics. 6:1996;361-373.
12. Dawid, H., 1999. On the stability of the discrete time replicator dynamics with inertia. Mathematical Social Sciences, forthcoming.
13. Dawid H., Hornik K. The dynamics of Genetic Algorithms in interactive environments. Journal of Network and Computer Applications. 19:1996;5-19.
14. Dawid, H., Kopel, M., 1998. The appropriate design of a genetic algorithm in economic applications exemplified by a model of the cobweb type. Journal of Evolutionary Economics 8, 297-315.
15. Franke, R., 1999. Coevolution and stable adjustments in the cobweb model. Journal of Evolutionary Economics, forthcoming.
16. Goldberg, D.E., 1989. Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, Reading, MA.
17. Hofbauer, J., 1995. Imitation Dynamics for games. Working paper, University of Vienna.
18. Hon-Snir, S., Monderer, D., Sela, A., 1998. A learning approach to auctions. Journal of Economic Theory 82, 65-88.
19. Mitchell, M., 1995. An Introduction to Genetic Algorithms. MIT Press, Cambridge, MA.
20. Radner R., Schotter A. The sealed-bid mechanism: an experimental study. Journal of Economic Theory. 48:1989;179-220.
21. Routledge, B.R., 1995. Artificial selection: genetic algorithm and learning in a rational expectations model. Manuscript, University of British Columbia, Vancouver.
22. Schlag, K., 1998. Why imitate, and, if so, how? A bounded rational approach to multi-armed bandits. Journal of Economic Theory 78, 130-156.
23. Valley, K., Thompson, L., Gibbons, R., Bazerman, M.H., 1995. Is talk really cheap? Outperforming equilibrium models of communication in bargaining games. Working paper, Harvard University.
24. Vega-Redondo F. Expectations, drift, and volatility in evolutionary games. Games and Economic Behavior. 11:1995;391-412.
25. Weibull, J., 1995. Evolutionary Game Theory. MIT Press, Cambridge, MA.