| Evolutionarily stable learning schedules in discrete generation models. | |
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MedLine Citation:
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PMID: 22306589 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Individual learning (e.g., trial-and-error) and social learning (e.g., imitation) are alternative ways of acquiring and expressing the appropriate phenotype in an environment. The optimal choice between using individual learning and/or social learning may be dictated by the life-stage or age of an organism. Of special interest is a learning schedule in which social learning precedes individual learning, because such a schedule is apparently a necessary condition for cumulative culture. Assuming two obligatory learning stages per discrete generation, we obtain the evolutionarily stable learning schedules for the three situations where the environment is constant, fluctuates between generations, or fluctuates within generations. During each learning stage, we assume that an organism may target the optimal phenotype in the current environment by individual learning, and/or the mature phenotype of the previous generation by oblique social learning. In the absence of exogenous costs to learning, the evolutionarily stable learning schedules are predicted to be either pure social learning followed by pure individual learning ("bang-bang" control) or pure individual learning at both stages ("flat" control). Moreover, we find for each situation that the evolutionarily stable learning schedule is also the one that optimizes the learned phenotype at equilibrium. |
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Authors:
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Kenichi Aoki; Joe Yuichiro Wakano; Laurent Lehmann |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-1-27 |
Journal Detail:
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Title: Theoretical population biology Volume: - ISSN: 1096-0325 ISO Abbreviation: - Publication Date: 2012 Jan |
Date Detail:
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Created Date: 2012-2-6 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0256422 Medline TA: Theor Popul Biol Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2012. Published by Elsevier Inc. |
Affiliation:
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Department of Biological Sciences, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-0033, Japan. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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