Using Genetic Algorithms to Model the Evolution of Heterogeneous Beliefs

Computational Economics

Volumn 13, Issue 1, 1999, Pages 41-60

  Bullard, James ^a   Duffy, John ^b  

^a FEDERAL RESERVE BANK OF ST LOUIS   (United States)

^b UNIVERSITY OF PITTSBURGH   (United States)

Author keywords

Equilibrium selection; Genetic algorithms; Heterogeneous beliefs; Learning

Indexed keywords

EID: 0011031728     PISSN: 09277099     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1008610307810     Document Type: Article

References (19)

1. Arifovic, Jasmina (1994). Genetic algorithm learning and the cobweb model. Journal of Economic Dynamics and Control, 18, 3-28.
2. Arifovic, Jasmina (1995). Genetic algorithms and inflationary economies. Journal of Monetary Economics, 36, 219-243.
3. Arifovic, Jasmina (1996). The behavior of the exchange rate in the genetic algorithm and experimental economies. Journal of Political Economy, 104, 510-541.
4. Arifovic, Jasmina, Bullard, James and Duffy, John (1997). The transition from stagnation to growth: an adaptive learning approach. Journal of Economic Growth, 2, 185-209.
5. Arifovic, Jasmina and Eaton, Curtis (1995). Coordination via genetic learning. Computational Economics, 8, 181-203.
6. Bullard, James (1994). Learning equilibria. Journal of Economic Theory, 64, 468-485.
7. Bullard, James and Duffy, John (1998a). A model of learning and emulation with artificial adaptive agents, forthcoming. Journal of Economic Dynamics and Control.
8. Bullard, James and Duffy, John (1998b). On learning and the stability of cycles, forthcoming. Macroeconomic Dynamics.
9. Grefenstette, John J. (1986). Optimization of control parameters for genetic algorithms. IEEE Transactions on Systems, Man, and Cybernetics, 16, 122-128.
10. Goldberg, David E. (1989). Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, Menlo-Park, CA.
11. Lucas, Robert E. Jr. (1986). Adaptive behavior and economic theory. Journal of Business, 59, S401-S426.
12. Marcet, Albert and Sargent, Thomas J. (1989). Least squares learning and the dynamics of hyperinflation. In W.A. Barnett, J. Geweke and K. Shell (eds.), Economic Complexity: Chaos, Sunspots, Bubbles and Nonlinearity. Cambridge University Press, Cambridge, MA.
13. Marimon, Ramon and Sunder, Shyam (1994). Expectations and learning under alternative monetary regimes: an experimental approach. Economic Theory, 4, 131-162.
14. Mitchell, Melanie (1996). An Introduction to Genetic Algorithms. MIT Press, Cambridge, MA.
15. Pingle, Mark and Tesfatsion, Leigh (1994). Walras' law, pareto efficiency and intermediation in overlapping generations economies. Economic Report No. 34, Iowa State University.
16. Routledge, Bryan R. (1995). Adaptive learning in financial markets. Working paper. Carnegie Mellon University.
17. Rudolph, Günter (1994). Convergence analysis of canonical genetic algorithms. IEEE Transactions on Neural Networks, 5, 96-101.
18. Sargent, Thomas J. (1993). Bounded Rationality in Macroeconomics. Oxford University Press, Oxford.
19. Wilson, Charles A. (1981). Equilibrium in dynamic models with an infinity of agents. Journal of Economic Theory, 24, 95-111.