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A systems approach to cultural evolution

Author

Listed:
  • Andrew Buskell

    (Stockholm University
    University of Cambridge)

  • Magnus Enquist

    (Stockholm University)

  • Fredrik Jansson

    (Stockholm University
    Mälardalen University)

Abstract

A widely accepted view in the cultural evolutionary literature is that culture forms a dynamic system of elements (or ‘traits’) linked together by a variety of relationships. Despite this, large families of models within the cultural evolutionary literature tend to represent only a small number of traits, or traits without interrelationships. As such, these models may be unable to capture complex dynamics resulting from multiple interrelated traits. Here we put forward a systems approach to cultural evolutionary research—one that explicitly represents numerous cultural traits and their relationships to one another. Basing our discussion on simple graph-based models, we examine the implications of the systems approach in four domains: (i) the cultural evolution of decision rules (‘filters’) and their influence on the distribution of cultural traits in a population; (ii) the contingency and stochasticity of system trajectories through a structured state space; (iii) how trait interrelationships can modulate rates of cultural change; and (iv) how trait interrelationships can contribute to understandings of inter-group differences in realised traits. We suggest that the preliminary results presented here should inspire greater attention to the role of multiple interrelated traits on cultural evolution, and should motivate attempts to formalise the rich body of analyses and hypotheses within the humanities and social science literatures.

Suggested Citation

  • Andrew Buskell & Magnus Enquist & Fredrik Jansson, 2019. "A systems approach to cultural evolution," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-15, December.
    • Handle: RePEc:pal:palcom:v:5:y:2019:i:1:d:10.1057_s41599-019-0343-5
    DOI: 10.1057/s41599-019-0343-5
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    Cited by:

    1. Caetano C R & Oscar Yandy & Cristian Matti, 2023. "Exploring indicators for monitoring sociotechnical system transitions through portfolio networks," Science and Public Policy, Oxford University Press, vol. 50(4), pages 719-741.
    2. Pieter Berg & TuongVan Vu & Lucas Molleman, 2024. "Unpredictable benefits of social information can lead to the evolution of individual differences in social learning," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    3. Claes Andersson & Claudio Tennie, 2023. "Zooming out the microscope on cumulative cultural evolution: ‘Trajectory B’ from animal to human culture," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-20, December.
    4. Theiss Bendixen, 2020. "How cultural evolution can inform the science of science communication—and vice versa," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-10, December.
    5. Salva Duran-Nebreda & Michael J. O’Brien & R. Alexander Bentley & Sergi Valverde, 2022. "Dilution of expertise in the rise and fall of collective innovation," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-10, December.
    6. Alexandre Bluet & François Osiurak & Nicolas Claidière & Emanuelle Reynaud, 2022. "Impact of technical reasoning and theory of mind on cumulative technological culture: insights from a model of micro-societies," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-10, December.

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