Lauren Scanlon
Unknotting the interactive effects of learning processes on cultural evolutionary dynamics
Scanlon, Lauren; Lobb, Andrew; Tehrani, Jamshid J.; Kendal, Jeremy R.
Authors
Andrew Lobb
Professor Jamshid Tehrani jamie.tehrani@durham.ac.uk
Head Of Department
Dr Jeremy Kendal jeremy.kendal@durham.ac.uk
Associate Professor
Abstract
Forms of non-random copying error provide sources of inherited variation yet their effects on cultural evolutionary dynamics are poorly understood. Focusing on variation in granny and reef knot forms, we present a mathematical model that specifies how these variant frequencies are affected by non-linear interactions between copying fidelity, mirroring, handedness and repetition biases. Experiments on adult humans allowed these effects to be estimated using Approximate Bayesian Computation and the model is iterated to explain the prevalence of granny over reef knots in the wild. Our study system also serves to show conditions under which copying fidelity drives heterogeneity in cultural variants at equilibrium, and that interaction between unbiased forms of copying error can skew cultural variation.
Citation
Scanlon, L., Lobb, A., Tehrani, J. J., & Kendal, J. R. (2019). Unknotting the interactive effects of learning processes on cultural evolutionary dynamics. Evolutionary Human Sciences, 1, Article e17. https://doi.org/10.1017/ehs.2019.17
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 11, 2019 |
Online Publication Date | Dec 23, 2019 |
Publication Date | Dec 23, 2019 |
Deposit Date | Nov 11, 2019 |
Publicly Available Date | Nov 16, 2019 |
Journal | Evolutionary Human Sciences |
Electronic ISSN | 2513-843X |
Publisher | Cambridge University Press |
Peer Reviewed | Peer Reviewed |
Volume | 1 |
Article Number | e17 |
DOI | https://doi.org/10.1017/ehs.2019.17 |
Public URL | https://durham-repository.worktribe.com/output/1283871 |
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Copyright Statement
COPYRIGHT: © The Author(s) 2019.This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
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