Learning by proportional observation in a species of fish
Author(s) -
Thomas W. Pike,
Jeremy Kendal,
Luke Rendell,
Kevin N. Laland
Publication year - 2010
Publication title -
behavioral ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.162
H-Index - 118
eISSN - 1465-7279
pISSN - 1045-2249
DOI - 10.1093/beheco/arq025
Subject(s) - biology , foraging , stickleback , social learning , fish <actinopterygii> , selection (genetic algorithm) , stochastic game , character (mathematics) , ecology , zoology , evolutionary biology , fishery , artificial intelligence , computer science , microeconomics , mathematics , knowledge management , geometry , economics
Theoretical analyses predict that animals should not copy other individuals indiscriminately but rather should do so selectively, according to evolved behavioral strategies that dictate the circumstances under which they copy. Here, we show experimentally that nine-spined sticklebacks (Pungitius pungitius) use social information in accordance with 1 of 3 theoretically predicted optimal strategies to guide their foraging behavior. Under test, sticklebacks copied the foraging patch choice of demonstrator individuals with a probability proportional to the demonstrators' payoff. The observation of this highly efficient form of learning in a species of fish supports the view that the presence of enhanced social learning may be better predicted by specific sources of selection than by how closely the species is related to humans and sheds light on the character of an adaptive specialization in stickleback learning. Copyright 2010, Oxford University Press.
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