Runaway brain‐culture coevolution as a reason for larger brains: Exploring the “cultural drive” hypothesis by computer modeling

Abstract Scale and tempo of brain expansion in the course of human evolution implies that this process was driven by a positive feedback. The “cultural drive” hypothesis suggests a possible mechanism for the runaway brain‐culture coevolution wherein high‐fidelity social learning results in accumulat...

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Main Authors: Alexander V. Markov, Mikhail A. Markov
Format: Article
Language:English
Published: Wiley 2020-06-01
Series:Ecology and Evolution
Subjects:
Online Access:https://doi.org/10.1002/ece3.6350
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spelling doaj-6a0736a0f05441aaa1c2d4ad4bc784b42021-04-02T12:56:59ZengWileyEcology and Evolution2045-77582020-06-0110126059607710.1002/ece3.6350Runaway brain‐culture coevolution as a reason for larger brains: Exploring the “cultural drive” hypothesis by computer modelingAlexander V. Markov0Mikhail A. Markov1Faculty of Biology Moscow State University Moscow RussiaFaculty of Biology Moscow State University Moscow RussiaAbstract Scale and tempo of brain expansion in the course of human evolution implies that this process was driven by a positive feedback. The “cultural drive” hypothesis suggests a possible mechanism for the runaway brain‐culture coevolution wherein high‐fidelity social learning results in accumulation of cultural traditions which, in turn, promote selection for still more efficient social learning. Here we explore this evolutionary mechanism by means of computer modeling. Simulations confirm its plausibility in a social species in a socio‐ecological situation that makes the sporadic invention of new beneficial and cognitively demanding behaviors possible. The chances for the runaway brain‐culture coevolution increase when some of the culturally transmitted behaviors are individually beneficial while the others are group‐beneficial. In this case, “cultural drive” is possible under varying levels of between‐group competition and migration. Modeling implies that brain expansion can receive additional boost if the evolving mechanisms of social learning are costly in terms of brain expansion (e.g., rely on complex neuronal circuits) and tolerant to the complexity of information transferred, that is, make it possible to transfer complex skills and concepts easily. Human language presumably fits this description. Modeling also confirms that the runaway brain‐culture coevolution can be accelerated by additional positive feedback loops via population growth and life span extension, and that between‐group competition and cultural group selection can facilitate the propagation of group‐beneficial behaviors and remove maladaptive cultural traditions from the population's culture, which individual selection is unable to do.https://doi.org/10.1002/ece3.6350brain expansioncultural drivehuman evolutionsimulationsocial learning
collection DOAJ
language English
format Article
sources DOAJ
author Alexander V. Markov
Mikhail A. Markov
spellingShingle Alexander V. Markov
Mikhail A. Markov
Runaway brain‐culture coevolution as a reason for larger brains: Exploring the “cultural drive” hypothesis by computer modeling
Ecology and Evolution
brain expansion
cultural drive
human evolution
simulation
social learning
author_facet Alexander V. Markov
Mikhail A. Markov
author_sort Alexander V. Markov
title Runaway brain‐culture coevolution as a reason for larger brains: Exploring the “cultural drive” hypothesis by computer modeling
title_short Runaway brain‐culture coevolution as a reason for larger brains: Exploring the “cultural drive” hypothesis by computer modeling
title_full Runaway brain‐culture coevolution as a reason for larger brains: Exploring the “cultural drive” hypothesis by computer modeling
title_fullStr Runaway brain‐culture coevolution as a reason for larger brains: Exploring the “cultural drive” hypothesis by computer modeling
title_full_unstemmed Runaway brain‐culture coevolution as a reason for larger brains: Exploring the “cultural drive” hypothesis by computer modeling
title_sort runaway brain‐culture coevolution as a reason for larger brains: exploring the “cultural drive” hypothesis by computer modeling
publisher Wiley
series Ecology and Evolution
issn 2045-7758
publishDate 2020-06-01
description Abstract Scale and tempo of brain expansion in the course of human evolution implies that this process was driven by a positive feedback. The “cultural drive” hypothesis suggests a possible mechanism for the runaway brain‐culture coevolution wherein high‐fidelity social learning results in accumulation of cultural traditions which, in turn, promote selection for still more efficient social learning. Here we explore this evolutionary mechanism by means of computer modeling. Simulations confirm its plausibility in a social species in a socio‐ecological situation that makes the sporadic invention of new beneficial and cognitively demanding behaviors possible. The chances for the runaway brain‐culture coevolution increase when some of the culturally transmitted behaviors are individually beneficial while the others are group‐beneficial. In this case, “cultural drive” is possible under varying levels of between‐group competition and migration. Modeling implies that brain expansion can receive additional boost if the evolving mechanisms of social learning are costly in terms of brain expansion (e.g., rely on complex neuronal circuits) and tolerant to the complexity of information transferred, that is, make it possible to transfer complex skills and concepts easily. Human language presumably fits this description. Modeling also confirms that the runaway brain‐culture coevolution can be accelerated by additional positive feedback loops via population growth and life span extension, and that between‐group competition and cultural group selection can facilitate the propagation of group‐beneficial behaviors and remove maladaptive cultural traditions from the population's culture, which individual selection is unable to do.
topic brain expansion
cultural drive
human evolution
simulation
social learning
url https://doi.org/10.1002/ece3.6350
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