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Evoked and transmitted culture models: Using bayesian methods to infer the evolution of cultural traits in history

Author

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  • Alexandre Hyafil
  • Nicolas Baumard

Abstract

A central question in behavioral and social sciences is understanding to what extent cultural traits are inherited from previous generations, transmitted from adjacent populations or produced in response to changes in socioeconomic and ecological conditions. As quantitative diachronic databases recording the evolution of cultural artifacts over many generations are becoming more common, there is a need for appropriate data-driven methods to approach this question. Here we present a new Bayesian method to infer the dynamics of cultural traits in a diachronic dataset. Our method called Evoked-Transmitted Cultural model (ETC) relies on fitting a latent-state model where a cultural trait is a latent variable which guides the production of the cultural artifacts observed in the database. The dynamics of this cultural trait may depend on the value of the cultural traits present in previous generations and in adjacent populations (transmitted culture) and/or on ecological factors (evoked culture). We show how ETC models can be fitted to quantitative diachronic or synchronic datasets, using the Expectation-Maximization algorithm, enabling estimating the relative contribution of vertical transmission, horizontal transmission and evoked component in shaping cultural traits. The method also allows to reconstruct the dynamics of cultural traits in different regions. We tested the performance of the method on synthetic data for two variants of the method (for binary or continuous traits). We found that both variants allow reliable estimates of parameters guiding cultural evolution, and that they outperform purely phylogenetic tools that ignore horizontal transmission and ecological factors. Overall, our method opens new possibilities to reconstruct how culture is shaped from quantitative data, with possible application in cultural history, cultural anthropology, archaeology, historical linguistics and behavioral ecology.

Suggested Citation

  • Alexandre Hyafil & Nicolas Baumard, 2022. "Evoked and transmitted culture models: Using bayesian methods to infer the evolution of cultural traits in history," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-21, April.
    • Handle: RePEc:plo:pone00:0264509
    DOI: 10.1371/journal.pone.0264509
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    References listed on IDEAS

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    1. Benetos, Emmanouil & Ragano, Alessandro & Sgroi, Daniel & Tuckwell, Anthony, 2021. "Measuring national happiness with music," The Warwick Economics Research Paper Series (TWERPS) 1326, University of Warwick, Department of Economics.
    2. Thomas T. Hills & Eugenio Proto & Daniel Sgroi & Chanuki Illushka Seresinhe, 2019. "Author Correction: Historical analysis of national subjective wellbeing using millions of digitized books," Nature Human Behaviour, Nature, vol. 3(12), pages 1343-1343, December.
    3. Joseph Watts & Oliver Sheehan & Quentin D. Atkinson & Joseph Bulbulia & Russell D. Gray, 2016. "Ritual human sacrifice promoted and sustained the evolution of stratified societies," Nature, Nature, vol. 532(7598), pages 228-231, April.
    4. Roger Fouquet & Stephen Broadberry, 2015. "Seven Centuries of European Economic Growth and Decline," Journal of Economic Perspectives, American Economic Association, vol. 29(4), pages 227-244, Fall.
    5. M. Jamshidian & R. I. Jennrich, 2000. "Standard errors for EM estimation," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(2), pages 257-270.
    6. Ian Morris, 2013. "The Measure of Civilization: How Social Development Decides the Fate of Nations," Economics Books, Princeton University Press, edition 1, number 9830, December.
    7. Lou Safra & Coralie Chevallier & Julie Grèzes & Nicolas Baumard, 2020. "Tracking historical changes in perceived trustworthiness in Western Europe using machine learning analyses of facial cues in paintings," Nature Communications, Nature, vol. 11(1), pages 1-7, December.
    8. Alberto Acerbi & Vasileios Lampos & Philip Garnett & R Alexander Bentley, 2013. "The Expression of Emotions in 20th Century Books," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-6, March.
    9. Buringh, Eltjo & Van Zanden, Jan Luiten, 2009. "Charting the “Rise of the West”: Manuscripts and Printed Books in Europe, A Long-Term Perspective from the Sixth through Eighteenth Centuries," The Journal of Economic History, Cambridge University Press, vol. 69(2), pages 409-445, June.
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