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Trends in Cognitive Sciences
Article
License: CC BY NC ND
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Trends in Cognitive Sciences
Article . 2018 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Social Learning Strategies: Bridge-Building between Fields

Authors: Kendal, Rachel L.; Boogert, Neeltje J.; Rendell, Luke; Laland, Kevin N.; Webster, Mike; Jones, Patricia L.;

Social Learning Strategies: Bridge-Building between Fields

Abstract

While social learning is widespread, indiscriminate copying of others is rarely beneficial. Theory suggests that individuals should be selective in what, when, and whom they copy, by following 'social learning strategies' (SLSs). The SLS concept has stimulated extensive experimental work, integrated theory, and empirical findings, and created impetus to the social learning and cultural evolution fields. However, the SLS concept needs updating to accommodate recent findings that individuals switch between strategies flexibly, that multiple strategies are deployed simultaneously, and that there is no one-to-one correspondence between psychological heuristics deployed and resulting population-level patterns. The field would also benefit from the simultaneous study of mechanism and function. SLSs provide a useful vehicle for bridge-building between cognitive psychology, neuroscience, and evolutionary biology.

Countries
United States, United Kingdom
Related Organizations
Keywords

Behavioural gambit, Asocial information, QH301 Biology, Culture, 150, associative learning theory, Associative learning theory, cumulative culture, asocial information, QH301, Social information, Animals, Humans, behavioural gambit, Cumulative culture, Association Learning, Brain, Imitative Behavior, Social Learning, social information, Metacognition, metacognition

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    435
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 0.1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
435
Top 0.1%
Top 1%
Top 0.1%
Green
hybrid