期刊
ADAPTIVE BEHAVIOR
卷 17, 期 2, 页码 153-174出版社
SAGE PUBLICATIONS LTD
DOI: 10.1177/1059712309103566
关键词
evolution; learning; changing environments; second-order evolution; adaptation strategy
This article examines the interdependency of population-level adaptation (evolution) and individual-level adaptation (learning). More specifically, we assume a trade-off between the two means of adaptation, that is, a higher individual-level adaptation can only be achieved with a reduced population level adaptation and vice versa. This trade-off is apparent in computational evolutionary systems, and there is also evidence that it exists in nature. As we show, despite this considered trade-off, there exist environments in which a combined adaptation scheme is optimal. Furthermore, we demonstrate that the optimal adaptive behavior produced by a particular distribution of population- and individual-level adaptation depends on the environmental dynamics. Finally, we verify that the optimal balance (i. e., an optimal learning effort) can emerge from evolution when there is a trade-off between reproduction and lifetime.
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