On random conformity bias in cultural transmission of polychotomous traits

IF 1.2 4区 生物学 Q4 ECOLOGY
Kaleda K. Denton , Uri Liberman , Marcus W. Feldman
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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 m=2 cultural variants in the population, (2) naive individuals observe the cultural variants of n=3 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 m variants of a trait where conformity (or anti-conformity) occurs with respect to n 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.

论多型性状文化传播中的随机一致性偏差
顺应与反顺应的数学模型通常包含一系列简化假设。例如:(1)人群中有 m=2 种文化变体;(2)天真的个体观察到 n=3 个成人 "榜样 "的文化变体;(3)个体的顺应或反顺应水平不会随时间而改变。最近的三篇理论论文表明,偏离上述每一个假设都会产生新的种群动态。在这里,我们探讨了同时违反多个或所有这些假设的情况:即在一个有 m 个性状变体的种群中,顺应(或反顺应)发生在 n 个角色模型上,我们研究了一个模型,在这个模型中,每一代的顺应率都是随机变量,与该代的变体频率无关。在这个模型中,存在一类对称的恒定均衡,而且所有这些均衡都有可能同时具有随机局部稳定性。在这种情况下,初始条件对后续进化轨迹的影响变得非常复杂。
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来源期刊
Theoretical Population Biology
Theoretical Population Biology 生物-进化生物学
CiteScore
2.50
自引率
14.30%
发文量
43
审稿时长
6-12 weeks
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.
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