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- W2171578889 abstract "A genetic algorithm (GA) is used to model learning in a financial model similar to the Grossman–Stiglitz model. Individuals need to learn how to use a signal, how to make an inference about a signal from a market-clearing price, and whether or not a signal is worth acquiring. We provide examples in which the GA does and does not converge to the rational expectations equilibrium. Similar to earlier results, the behavior depends heavily on the rate of experimentation or mutation in the GA and the size of the risky-asset supply noise in the economy." @default.
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- W2171578889 date "2001-04-01" @default.
- W2171578889 modified "2023-09-23" @default.
- W2171578889 title "GENETIC ALGORITHM LEARNING TO CHOOSE AND USE INFORMATION" @default.
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- W2171578889 doi "https://doi.org/10.1017/s1365100501019083" @default.
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