Balancing population- and individual-level adaptation in changing environments
Paenke, Ingo, Jin, Yaochu and Branke, Jürgen. (2009) Balancing population- and individual-level adaptation in changing environments. Adaptive Behaviour, Vol.17 (No.2). pp. 153-174. ISSN 1059-7123Full text not available from this repository.
Official URL: http://dx.doi.org/10.1177/1059712309103566
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.
|Item Type:||Journal Article|
|Subjects:||Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
B Philosophy. Psychology. Religion > BF Psychology
H Social Sciences
|Divisions:||Faculty of Social Sciences > Warwick Business School|
|Journal or Publication Title:||Adaptive Behaviour|
|Publisher:||Sage Publications Ltd.|
|Official Date:||June 2009|
|Number of Pages:||22|
|Page Range:||pp. 153-174|
|Access rights to Published version:||Restricted or Subscription Access|
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