Evolutionarily stable learning schedules and cumulative culture in discrete generation models.

Détails

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Etat: Public
Version: Final published version
ID Serval
serval:BIB_D5967E0D3F62
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Evolutionarily stable learning schedules and cumulative culture in discrete generation models.
Périodique
Theoretical Population Biology
Auteur(s)
Aoki K., Wakano J.Y., Lehmann L.
ISSN
1096-0325 (Electronic)
ISSN-L
0040-5809
Statut éditorial
Publié
Date de publication
2012
Peer-reviewed
Oui
Volume
81
Numéro
4
Pages
300-309
Langue
anglais
Résumé
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.
Mots-clé
Biological Evolution, Humans, Learning, Models, Theoretical
Pubmed
Web of science
Open Access
Oui
Création de la notice
07/02/2012 15:42
Dernière modification de la notice
20/08/2019 16:55
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