Projects per year
Abstract
Cultural evolutionary theory posits that human cultural complexity rests
on a set of adaptive learning biases that help to guide functionality
and optimality in social learning, but this sits in contrast with the
commonly held view that children are unselective “over-imitators.” Here,
we tested whether 4- and 6-year-old children use social learning biases
flexibly to fine-tune their copying of irrelevant actions. Children
watched a video of a majority demonstrating causally irrelevant actions
and a minority demonstrating only causally relevant actions. In one
condition observers approved of the majority and disapproved of the
minority, and in the other condition observers watched the majority and
minority neutrally. Results showed that both 4- and 6-year-olds copied
the inefficient majority more often than the efficient minority when the
observers had approved of the majority’s actions, but they copied the
efficient minority significantly more when the observers had watched
neutrally. We discuss the implications of children’s optimal selectivity
in copying and the importance of integrating social approval into
majority-biased learning when acquiring norms and conventions and in
broader processes of cultural evolution.
Original language | English |
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Article number | 105229 |
Journal | Journal of Experimental Child Psychology |
Volume | 212 |
Early online date | 17 Jul 2021 |
DOIs | |
Publication status | Published - Dec 2021 |
Keywords
- Over-imitation
- Majority bias
- Cultural evolution
- Social learning strategies
- Social learning biases
Fingerprint
Dive into the research topics of 'When does it pay to follow the crowd? Children optimize imitation of causally-irrelevant actions performed by a majority'. Together they form a unique fingerprint.Projects
- 1 Finished
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Exploring the Evolutionary Foundations: Exploring the Evolutionary Foundations of Cultural Complexity Creativity and Trust
Lala, K. (PI)
1/09/13 → 30/05/16
Project: Standard
Datasets
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Majority-biased copying of irrelevant actions in children (dataset)
Evans, C. L. (Creator), OSF, 2021
Dataset