Kaleda K. Denton , Uri Liberman , Marcus W. Feldman
{"title":"On random conformity bias in cultural transmission of polychotomous traits","authors":"Kaleda K. Denton , Uri Liberman , Marcus W. Feldman","doi":"10.1016/j.tpb.2023.12.003","DOIUrl":null,"url":null,"abstract":"<div><p>Mathematical models of conformity and anti-conformity have commonly included a set of simplifying assumptions. For example, (1) there are <span><math><mrow><mi>m</mi><mo>=</mo><mn>2</mn></mrow></math></span> cultural variants in the population, (2) naive individuals observe the cultural variants of <span><math><mrow><mi>n</mi><mo>=</mo><mn>3</mn></mrow></math></span> adult “role models,” and (3) individuals’ levels of conformity or anti-conformity do not change over time. Three recent theoretical papers have shown that departures from each of these assumptions can produce new population dynamics. Here, we explore cases in which multiple, or all, of these assumptions are violated simultaneously: namely, in a population with <span><math><mi>m</mi></math></span> variants of a trait where conformity (or anti-conformity) occurs with respect to <span><math><mi>n</mi></math></span> role models, we study a model in which the conformity rates at each generation are random variables that are independent of the variant frequencies at that generation. For this model a class of symmetric constant equilibria exist, and it is possible that all of these equilibria are simultaneously stochastically locally stable. In such cases, the effect of initial conditions on subsequent evolutionary trajectories becomes very complicated.</p></div>","PeriodicalId":49437,"journal":{"name":"Theoretical Population Biology","volume":"156 ","pages":"Pages 5-11"},"PeriodicalIF":1.2000,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0040580923000825/pdfft?md5=d09e55e4173f428cb94f39e6d8b55695&pid=1-s2.0-S0040580923000825-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theoretical Population Biology","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0040580923000825","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Mathematical models of conformity and anti-conformity have commonly included a set of simplifying assumptions. For example, (1) there are cultural variants in the population, (2) naive individuals observe the cultural variants of adult “role models,” and (3) individuals’ levels of conformity or anti-conformity do not change over time. Three recent theoretical papers have shown that departures from each of these assumptions can produce new population dynamics. Here, we explore cases in which multiple, or all, of these assumptions are violated simultaneously: namely, in a population with variants of a trait where conformity (or anti-conformity) occurs with respect to role models, we study a model in which the conformity rates at each generation are random variables that are independent of the variant frequencies at that generation. For this model a class of symmetric constant equilibria exist, and it is possible that all of these equilibria are simultaneously stochastically locally stable. In such cases, the effect of initial conditions on subsequent evolutionary trajectories becomes very complicated.
期刊介绍:
An interdisciplinary journal, Theoretical Population Biology presents articles on theoretical aspects of the biology of populations, particularly in the areas of demography, ecology, epidemiology, evolution, and genetics. Emphasis is on the development of mathematical theory and models that enhance the understanding of biological phenomena.
Articles highlight the motivation and significance of the work for advancing progress in biology, relying on a substantial mathematical effort to obtain biological insight. The journal also presents empirical results and computational and statistical methods directly impinging on theoretical problems in population biology.