Epistasis between cultural traits causes paradigm shifts in cultural evolution.

cognitive dissonance cultural evolution epistasis irreversibility paradigm shift phase transition

Journal

Royal Society open science
ISSN: 2054-5703
Titre abrégé: R Soc Open Sci
Pays: England
ID NLM: 101647528

Informations de publication

Date de publication:
Feb 2020
Historique:
received: 01 12 2019
accepted: 30 01 2020
entrez: 8 4 2020
pubmed: 8 4 2020
medline: 8 4 2020
Statut: epublish

Résumé

Every now and then the cultural paradigm of a society changes. While current models of cultural shifts usually require a major exogenous or endogenous change, we propose that the mechanism underlying many paradigm shifts may just be an emergent feature of the inherent congruence among different cultural traits. We implement this idea through a population dynamics model in which individuals are defined by a vector of cultural traits that changes mainly through cultural contagion, biased by a 'cultural fitness' landscape, between contemporary individuals. Cultural traits reinforce or hinder each other (through a form of cultural epistasis) to prevent cognitive dissonance. Our main result is that abrupt paradigm shifts occur, in response to weak changes in the landscape, only in the presence of epistasis between cultural traits, and regardless of whether horizontal transmission is biased by homophily. A relevant consequence of this dynamics is the irreversible nature of paradigm shifts: the old paradigm cannot be restored even if the external changes are undone. Our model puts the phenomenon of paradigm shifts in cultural evolution in the same category as catastrophic shifts in ecology or phase transitions in physics, where minute causes lead to major collective changes.

Identifiants

pubmed: 32257337
doi: 10.1098/rsos.191813
pii: rsos191813
pmc: PMC7062103
doi:

Types de publication

Journal Article

Langues

eng

Pagination

191813

Informations de copyright

© 2020 The Authors.

Déclaration de conflit d'intérêts

We declare we have no competing interest.

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Auteurs

Ignacio Pascual (I)

Grupo Interdisciplinar de Sistemas Complejos (GISC), Madrid, Spain.
Departamento de Matemáticas, Universidad Carlos III de Madrid, Spain.

Jacobo Aguirre (J)

Grupo Interdisciplinar de Sistemas Complejos (GISC), Madrid, Spain.
Centro Nacional de Biotecnología (CNB-CSIC), Madrid, Spain.

Susanna Manrubia (S)

Grupo Interdisciplinar de Sistemas Complejos (GISC), Madrid, Spain.
Centro Nacional de Biotecnología (CNB-CSIC), Madrid, Spain.

José A Cuesta (JA)

Grupo Interdisciplinar de Sistemas Complejos (GISC), Madrid, Spain.
Departamento de Matemáticas, Universidad Carlos III de Madrid, Spain.
Instituto de Biocomputación y Física de Sistemas Complejos (BIFI), Universidad de Zaragoza, Zaragoza, Spain.
UC3M-BS Institute of Financial Big Data (IFiBiD), Madrid, Spain.

Classifications MeSH