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Subsistence styles shape human social learning strategies

Author

Listed:
  • Luke Glowacki

    (Institute for Advanced Study in Toulouse
    Harvard University
    Program for Evolutionary Dynamics, Harvard University)

  • Lucas Molleman

    (Centre for Decision Research and Experimental Economics, University of Nottingham
    Center for Adaptive Rationality, Max Planck Institute for Human Development)

Abstract

Social learning is a fundamental element of human cognition. Learning from others facilitates the transmission of information that helps individuals and groups rapidly adjust to new environments and underlies adaptive cultural evolution1–6. While basic human propensities for social learning are traditionally assumed to be species-universal1,7, recent empirical studies show that they vary between individuals and populations8–13. Yet the causes of this variation remain poorly understood9. Here we show that interdependence in everyday social and economic activities can strongly amplify social learning. Using an experimental decision-making task, we examine individual versus social learning in three recently diverged populations of a single-ethnicity group, whose subsistence styles require varying degrees of interdependence. Interdependent pastoralists and urban dwellers have markedly higher propensities for social learning than independent horticulturalists, who predominantly rely on individual payoff information. These results indicate that everyday social and economic practices can mould human social learning strategies and they highlight the flexibility of human cognition to change with local ecology. Our study further suggests that shifts in subsistence styles—which can occur when humans inhabit new habitats or cultural niches2—can alter reliance on social learning and may therefore impact the ability of human societies to adapt to novel circumstances.

Suggested Citation

  • Luke Glowacki & Lucas Molleman, 2017. "Subsistence styles shape human social learning strategies," Nature Human Behaviour, Nature, vol. 1(5), pages 1-5, May.
  • Handle: RePEc:nat:nathum:v:1:y:2017:i:5:d:10.1038_s41562-017-0098
    DOI: 10.1038/s41562-017-0098
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    Cited by:

    1. Onishi Hiroshi, 2018. "Consumers’ Social Learning About Videogame Consoles Through Multiple Website Browsing," Journal of Systems Science and Information, De Gruyter, vol. 6(6), pages 495-511, December.
    2. Simpson, Cohen R., 2022. "Social support and network formation in a small-scale horticulturalist population," LSE Research Online Documents on Economics 116694, London School of Economics and Political Science, LSE Library.
    3. Tapia, Carlos & Coulton, Jeff & Saydam, Serkan, 2020. "Using entropy to assess dynamic behaviour of long-term copper price," Resources Policy, Elsevier, vol. 66(C).
    4. Lawrence A. Kuznar, 2021. "A tale of two pandemics: evolutionary psychology, urbanism, and the biology of disease spread deepen sociopolitical divides in the U.S," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-6, December.
    5. Alex Mesoudi, 2018. "Migration, acculturation, and the maintenance of between-group cultural variation," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-23, October.
    6. C. A. Tapia Cortez & J. Coulton & C. Sammut & S. Saydam, 2018. "Determining the chaotic behaviour of copper prices in the long-term using annual price data," Palgrave Communications, Palgrave Macmillan, vol. 4(1), pages 1-13, December.
    7. M. H. Easdale & C. L. Michel & D. Perri, 2023. "Biocultural heritage of transhumant territories," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 40(1), pages 53-64, March.

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