Artikel
Evolution of social learning with payoff and content bias
There has been much theoretical work aimed at understanding the evolution of social learning; and in most of it, individual and social learning are treated as distinct processes. A number of authors have argued that this approach is faulty because the same psychological mechanisms underpin social and individual learning. In previous work, we analyzed a simple model in which both individual and social learning are the result of a single learning process. Here, we extend this approach by showing how payoff and content biases evolve. We show that payoff bias leads to higher average fitness when environments are noisy and change rapidly. Content bias always evolves when the expected fitness benefits of alternative traits differ.
- Language
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Englisch
- Bibliographic citation
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Journal: Games ; ISSN: 2073-4336 ; Volume: 13 ; Year: 2022 ; Issue: 1 ; Pages: 1-15 ; Basel: MDPI
- Classification
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Wirtschaft
- Subject
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content bias
cultural evolution
individual learning
payoff bias
- Event
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Geistige Schöpfung
- (who)
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Perreault, Charles
Boyd, Robert
- Event
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Veröffentlichung
- (who)
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MDPI
- (where)
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Basel
- (when)
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2022
- DOI
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doi:10.3390/g13010007
- Handle
- Last update
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10.03.2025, 11:42 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Perreault, Charles
- Boyd, Robert
- MDPI
Time of origin
- 2022
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