Minimally sufficient conditions for the evolution of social learning and the emergence of non-genetic evolutionary systems
Minimally sufficient conditions for the evolution of social learning and the emergence of non-genetic evolutionary systems
Social learning, defined as the imitation of behaviors performed by others, is recognized as a distinctive characteristic in humans and several other animal species. Previous work has claimed that the evolutionary fixation of social learning requires decision-making cognitive abilities that result in transmission bias (e.g., discriminatory imitation) and/or guided variation (e.g., adaptive modification of behaviors through individual learning). Here, we present and analyze a simple agent-based model that demonstrates that the transition from instinctive actuators (i.e., non-learning agents whose behavior is hardcoded in their genes) to social learners (i.e., agents that imitate behaviors) can occur without invoking such decision-making abilities. The model shows that the social learning of a trait may evolve and fix in a population if there are many possible behavioral variants of the trait, if it is subject to strong selection pressure for survival (as distinct from reproduction), and if imitation errors occur at a higher rate than genetic mutation. These results demonstrate that the (sometimes implicit) assumption in prior work that decision-making abilities are required is incorrect, thus allowing a more parsimonious explanation for the evolution of social learning that applies to a wider range of organisms. Furthermore, we identify genotype-phenotype disengagement as a signal for the imminent fixation of social learners, and explain the way in which this disengagement leads to the emergence of a basic form of cultural evolution (i.e., a non-genetic evolutionary system).
493–517
Gonzalez Canudas, Miguel
4d05e103-0f40-4c54-9082-693f5d49d6bb
Watson, Richard
ce199dfc-d5d4-4edf-bd7b-f9e224c96c75
Bullock, Seth
2ad576e4-56b8-4f31-84e0-51bd0b7a1cd3
1 November 2017
Gonzalez Canudas, Miguel
4d05e103-0f40-4c54-9082-693f5d49d6bb
Watson, Richard
ce199dfc-d5d4-4edf-bd7b-f9e224c96c75
Bullock, Seth
2ad576e4-56b8-4f31-84e0-51bd0b7a1cd3
Gonzalez Canudas, Miguel, Watson, Richard and Bullock, Seth
(2017)
Minimally sufficient conditions for the evolution of social learning and the emergence of non-genetic evolutionary systems.
Artificial Life, 23 (4), .
(doi:10.1162/ARTL_a_00244).
Abstract
Social learning, defined as the imitation of behaviors performed by others, is recognized as a distinctive characteristic in humans and several other animal species. Previous work has claimed that the evolutionary fixation of social learning requires decision-making cognitive abilities that result in transmission bias (e.g., discriminatory imitation) and/or guided variation (e.g., adaptive modification of behaviors through individual learning). Here, we present and analyze a simple agent-based model that demonstrates that the transition from instinctive actuators (i.e., non-learning agents whose behavior is hardcoded in their genes) to social learners (i.e., agents that imitate behaviors) can occur without invoking such decision-making abilities. The model shows that the social learning of a trait may evolve and fix in a population if there are many possible behavioral variants of the trait, if it is subject to strong selection pressure for survival (as distinct from reproduction), and if imitation errors occur at a higher rate than genetic mutation. These results demonstrate that the (sometimes implicit) assumption in prior work that decision-making abilities are required is incorrect, thus allowing a more parsimonious explanation for the evolution of social learning that applies to a wider range of organisms. Furthermore, we identify genotype-phenotype disengagement as a signal for the imminent fixation of social learners, and explain the way in which this disengagement leads to the emergence of a basic form of cultural evolution (i.e., a non-genetic evolutionary system).
This record has no associated files available for download.
More information
Published date: 1 November 2017
Identifiers
Local EPrints ID: 471929
URI: http://eprints.soton.ac.uk/id/eprint/471929
ISSN: 1530-9185
PURE UUID: 7a4b4240-2a05-4deb-bdc9-4faa8aa31b4b
Catalogue record
Date deposited: 22 Nov 2022 17:50
Last modified: 17 Mar 2024 03:00
Export record
Altmetrics
Contributors
Author:
Miguel Gonzalez Canudas
Author:
Richard Watson
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics