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Enculturation without TTOM and Bayesianism without FEP: Another Bayesian theory of culture is needed

Published online by Cambridge University Press:  28 May 2020

Martin Fortier-Davy Open the ORCID record for Martin Fortier-Davy [Opens in a new window]
Martin Fortier-Davy*
Affiliation:
Department of Cognitive Studies, Institut Jean Nicod, EHESS/ENS/PSL University, 75005Paris, France. martin.fortier@ens.fr https://sites.google.com/site/martineliefortier/
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Abstract

First, I discuss cross-cultural evidence showing that a good deal of enculturation takes place outside of thinking through other minds. Second, I review evidence challenging the claim that humans seek to minimize entropy. Finally, I argue that optimality claims should be avoided, and that descriptive Bayesianism offers a more promising avenue for the development of a Bayesian theory of culture.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 43 , 2020 , e103
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Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

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References

Berlyne, D. E. (1966) Curiosity and exploration. Science 153(3731):25–33. https://doi.org/10.1126/science.153.3731.25.CrossRefGoogle ScholarPubMed
Chetverikov, A. & Kristjánsson, Á. (2016) On the joys of perceiving: Affect as feedback for perceptual predictions. Acta Psychologica 169:1–10. https://doi.org/10.1016/j.actpsy.2016.05.005.CrossRefGoogle ScholarPubMed
Chmiel, A. & Schubert, E. (2017) Back to the inverted-U for music preference: A review of the literature. Psychology of Music 45(6):886–909. https://doi.org/10.1177/0305735617697507.CrossRefGoogle Scholar
Clark, A. (2013b) Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behavioral and Brain Sciences 36(3):181–253.CrossRefGoogle Scholar
Delplanque, J., De Loof, E., Janssens, C. & Verguts, T. (2019) The sound of beauty: How complexity determines aesthetic preference. Acta Psychologica 192:146–52. https://doi.org/10.1016/j.actpsy.2018.11.011.CrossRefGoogle ScholarPubMed
Fortier, M. & Kim, S. (2017) From the impossible to the improbable: A probabilistic account of magical beliefs and practices across development and cultures. In: The science of lay theories: How beliefs shape our cognition, behavior, and health, eds. Zedelius, C., Müller, B. & Schooler, J., pp. 265–315. Springer.CrossRefGoogle Scholar
Frank, M. C. (2013) Throwing out the Bayesian baby with the optimal bathwater: Response to Endress (2013). Cognition 128(3):417–23. https://doi.org/10.1016/j.cognition.2013.04.010.CrossRefGoogle ScholarPubMed
Friston, K. J. (2010) The free-energy principle: A unified brain theory? Nature Reviews Neuroscience 11(2):127–38. https://doi.org/10.1038/nrn2787.CrossRefGoogle ScholarPubMed
Friston, K. J., Fortier, M. & Friedman, D. A. (2018) Of woodlice and men: A Bayesian account of cognition, life and consciousness. An interview with Karl Friston. ALIUS Bulletin 2:17–43.Google Scholar
Gopnik, A. & Wellman, H. M. (2012) Reconstructing constructivism: Causal models, Bayesian learning mechanisms, and the theory theory. Psychological Bulletin 138(6):1085–1108. doi:10.1037/a0028044.CrossRefGoogle ScholarPubMed
Griffiths, T., Chater, N., Kemp, C., Perfors, A. & Tenenbaum, J. B. (2010) Probabilistic models of cognition: Exploring representations and inductive biases. Trends in Cognitive Sciences 14(8):357–64. https://doi.org/10.1016/j.tics.2010.05.004.CrossRefGoogle ScholarPubMed
Güçlütürk, Y., Jacobs, R. H. A. H. & van Lier, R. (2016) Liking versus complexity: Decomposing the inverted U-curve. Frontiers in Human Neuroscience 10:112. https://doi.org/10.3389/fnhum.2016.00112.CrossRefGoogle ScholarPubMed
Güçlütürk, Y. & van Lier, R. (2019) Decomposing complexity preferences for music. Frontiers in Psychology 10:674. https://doi.org/10.3389/fpsyg.2019.00674.CrossRefGoogle ScholarPubMed
Howe, C. Q. & Purves, D. (2002) Range image statistics can explain the anomalous perception of length. Proceedings of the National Academy of Sciences 99(20):13184–88. https://doi.org/10.1073/pnas.162474299.CrossRefGoogle ScholarPubMed
Howe, C. Q., Yang, Z. & Purves, D. (2005) The Poggendorff illusion explained by natural scene geometry. Proceedings of the National Academy of Sciences of the USA 102(21):7707–12. https://doi.org/10.1073/pnas.0502893102.CrossRefGoogle ScholarPubMed
Kao, C.-T. & Wang, M.-Y. (2013) The right level of complexity in a Banner Ad: Roles of construal level and fluency. In: Human interface and the management of information. Information and interaction design, ed. Yamamoto, S., pp. 604–13. Springer, https://doi.org/10.1007/978-3-642-39209-2_67.CrossRefGoogle Scholar
Miyamoto, Y., Nisbett, R. E. & Masuda, T. (2006) Culture and the physical environment: Holistic versus analytic perceptual affordances. Psychological Science 17(2):113–19. https://doi.org/10.1111/j.1467-9280.2006.01673.x.CrossRefGoogle ScholarPubMed
Segall, M., Campbell, D. & Herskovits, M. (1966) The influence of culture on visual perception. Bobbs-Merrill.Google Scholar
Shipp, S. (2016) Neural elements for predictive coding. Frontiers in Psychology 7:1792. doi:10.3389/fpsyg.2016.01792.CrossRefGoogle ScholarPubMed
Tauber, S., Navarro, D. J., Perfors, A. & Steyvers, M. (2017) Bayesian models of cognition revisited: Setting optimality aside and letting data drive psychological theory. Psychological Review 124(4):410–41. https://doi.org/10.1037/rev0000052.CrossRefGoogle ScholarPubMed
Tenenbaum, J., Kemp, C., Griffiths, T. & Goodman, N. (2011) How to grow a mind: Statistics, structure, and abstraction. Science 331(6022):1279–85. https://doi.org/10.1126/science.1192788.CrossRefGoogle Scholar
Uskul, A. K., Kitayama, S. & Nisbett, R. E. (2008) Ecocultural basis of cognition: Farmers and fishermen are more holistic than herders. Proceedings of the National Academy of Sciences 105(25):8552–56. https://doi.org/10.1073/pnas.0803874105.CrossRefGoogle ScholarPubMed
Xu, F. (2007) Rational statistical inference and cognitive development. In: The innate mind. Volume 3: Foundations and the future, eds. Carruthers, P., Laurence, S. & Stich, S., pp. 199–215. Oxford University Press.Google Scholar