Learning of Cycles and Sunspot Equilibria by Genetic Algorithms

Dawid H (1996)
Journal of Evolutionary Economics 6(4): 361-373.

Journal Article | English

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Abstract
We analyze the learning behaviour of a Simple Genetic Algorithm in an overlapping generations model with one consumption good and fiat money. It is shown by simulations, that in cases where periodic equilibria exist the equilibrium of period two is learned by a Genetic Algorithm and not the monetary steady state. We further show that proper coding leads to convergence of the GA towards the sunspot equilibrium. If individuals who believe in the impact of sunspots are brought together with individuals who ignore the sunspots, the sunspot believes will in most cases drive the other individuals out of the population.
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Dawid H. Learning of Cycles and Sunspot Equilibria by Genetic Algorithms. Journal of Evolutionary Economics. 1996;6(4):361-373.
Dawid, H. (1996). Learning of Cycles and Sunspot Equilibria by Genetic Algorithms. Journal of Evolutionary Economics, 6(4), 361-373.
Dawid, H. (1996). Learning of Cycles and Sunspot Equilibria by Genetic Algorithms. Journal of Evolutionary Economics 6, 361-373.
Dawid, H., 1996. Learning of Cycles and Sunspot Equilibria by Genetic Algorithms. Journal of Evolutionary Economics, 6(4), p 361-373.
H. Dawid, “Learning of Cycles and Sunspot Equilibria by Genetic Algorithms”, Journal of Evolutionary Economics, vol. 6, 1996, pp. 361-373.
Dawid, H.: Learning of Cycles and Sunspot Equilibria by Genetic Algorithms. Journal of Evolutionary Economics. 6, 361-373 (1996).
Dawid, Herbert. “Learning of Cycles and Sunspot Equilibria by Genetic Algorithms”. Journal of Evolutionary Economics 6.4 (1996): 361-373.
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