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. doi:10.1177/1059712309103566

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Abstract

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.
ISSN:	1059-7123
Official Date:	June 2009
Dates:	Date Event June 2009 Published
Volume:	Vol.17
Number:	No.2
Number of Pages:	22
Page Range:	pp. 153-174
DOI:	10.1177/1059712309103566
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access

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