Innovativeness, population size and cumulative cultural evolution

Theoretical Population Biology
Yutaka Kobayashi, Kenichi Aoki

Abstract

Henrich [Henrich, J., 2004. Demography and cultural evolution: how adaptive cultural processes can produce maladaptive losses-the Tasmanian case. Am. Antiquity 69, 197-214] proposed a model designed to show that larger population size facilitates cumulative cultural evolution toward higher skill levels. In this model, each newborn attempts to imitate the most highly skilled individual of the parental generation by directly-biased social learning, but the skill level he/she acquires deviates probabilistically from that of the exemplar (cultural parent). The probability that the skill level of the imitator exceeds that of the exemplar can be regarded as the innovation rate. After reformulating Henrich's model rigorously, we introduce an overlapping-generations analog based on the Moran model and derive an approximate formula for the expected change per generation of the highest skill level in the population. For large population size, our overlapping-generations model predicts a much larger effect of population size than Henrich's discrete-generations model. We then investigate by way of Monte Carlo simulations the case where each newborn chooses as his/her exemplar the most highly skilled individual from among a limited number o...Continue Reading

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Citations

Nov 12, 2013·Theoretical Population Biology·Kenichi Aoki, Marcus W Feldman
Jul 23, 2014·PloS One·Adrien QuerbesWybo Houkes
Apr 17, 2013·Theoretical Population Biology·Ryan Baldini
Nov 15, 2013·Proceedings. Biological Sciences·Michael MuthukrishnaJoseph Henrich
Feb 3, 2016·Proceedings of the National Academy of Sciences of the United States of America·William GilpinKenichi Aoki
Mar 2, 2016·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·Michael Muthukrishna, Joseph Henrich
Nov 26, 2015·Trends in Ecology & Evolution·Laurel FogartyMarcus W Feldman
Mar 19, 2014·Evolution; International Journal of Organic Evolution·Edith KatsnelsonMarcus W Feldman
Apr 5, 2016·Journal of Theoretical Biology·Mayuko Nakamaru
Feb 4, 2014·Journal of Theoretical Biology·Wataru Nakahashi, Marcus W Feldman
May 17, 2015·Journal of Theoretical Biology·Yutaka KobayashiHisashi Ohtsuki
Mar 13, 2014·Journal of Theoretical Biology·Wataru Nakahashi
Dec 17, 2014·Theoretical Population Biology·Kenichi Aoki
Jun 15, 2016·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·Mark CollardWil Roebroeks
Oct 27, 2016·Human Nature : an Interdisciplinary Biosocial Perspective·Laurel FogartyKenichi Aoki
Jul 26, 2017·Proceedings of the National Academy of Sciences of the United States of America·Nicole CreanzaMarcus W Feldman
Nov 9, 2018·PLoS Computational Biology·Michael MuthukrishnaJoseph Henrich
Feb 15, 2018·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·Kenichi Aoki
Feb 15, 2018·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·Maxime DerexRobert Boyd
Jul 7, 2017·Royal Society Open Science·Wataru Nakahashi
Oct 25, 2017·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·Laurel Fogarty, Nicole Creanza
Jul 3, 2020·PloS One·Marcus J HamiltonDavid S Sandeford
May 5, 2017·Journal of the Royal Society, Interface·Nicole CreanzaMarcus W Feldman
Nov 2, 2019·Theoretical Population Biology·Mitsuhiro NakamuraYutaka Kobayashi
Jan 23, 2021·Theoretical Population Biology·Yutaka KobayashiJoe Yuichiro Wakano
May 30, 2020·Trends in Cognitive Sciences·Maxime Derex, Alex Mesoudi

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