Learning of Cycles and Sunspot Equilibria by Genetic Algorithms

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

Zeitschriftenaufsatz | Englisch
 
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Abstract / Bemerkung
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.
Stichworte
agent-based modelling; etace_agent_based_modelling
Erscheinungsjahr
1996
Zeitschriftentitel
Journal of Evolutionary Economics
Band
6
Ausgabe
4
Seite(n)
361-373
ISSN
0936-9937
eISSN
1432-1386
Page URI
https://pub.uni-bielefeld.de/record/2637703

Zitieren

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. doi:10.1007/BF01202276
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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