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人类亲属关系结构的形成取决于人口规模和文化突变率。

Formation of human kinship structures depending on population size and cultural mutation rate.

机构信息

Department of Basic Science, Graduate School of Arts and Sciences, University of Tokyo, Meguro, Tokyo 153-8902, Japan.

Computational Group Dynamics Collaboration Unit, RIKEN Center for Brain Science, Wako, Saitama 351-0198, Japan.

出版信息

Proc Natl Acad Sci U S A. 2024 Aug 13;121(33):e2405653121. doi: 10.1073/pnas.2405653121. Epub 2024 Aug 7.

Abstract

How does social complexity depend on population size and cultural transmission? Kinship structures in traditional societies provide a fundamental illustration, where cultural rules between clans determine people's marriage possibilities. Here, we propose a simple model of kinship interactions that considers kin and in-law cooperation and sexual rivalry. In this model, multiple societies compete. Societies consist of multiple families with different cultural traits and mating preferences. These values determine interactions and hence the growth rate of families and are transmitted to offspring with mutations. Through a multilevel evolutionary simulation, family traits and preferences are grouped into multiple clans with interclan mating preferences. It illustrates the emergence of kinship structures as the spontaneous formation of interdependent cultural associations. Emergent kinship structures are characterized by the cycle length of marriage exchange and the number of cycles in society. We numerically and analytically clarify their parameter dependence. The relative importance of cooperation versus rivalry determines whether attraction or repulsion exists between families. Different structures evolve as locally stable attractors. The probabilities of formation and collapse of complex structures depend on the number of families and the mutation rate, showing characteristic scaling relationships. It is now possible to explore macroscopic kinship structures based on microscopic interactions, together with their environmental dependence and the historical causality of their evolution. We propose the basic causal mechanism of the formation of typical human social structures by referring to ethnographic observations and concepts from statistical physics and multilevel evolution. Such interdisciplinary collaboration will unveil universal features in human societies.

摘要

社会复杂性如何取决于人口规模和文化传播?传统社会中的亲属关系结构提供了一个基本的例证,即部落之间的文化规则决定了人们的婚姻可能性。在这里,我们提出了一个简单的亲属关系相互作用模型,考虑了亲属和姻亲合作以及性竞争。在这个模型中,多个社会相互竞争。社会由具有不同文化特征和交配偏好的多个家庭组成。这些价值观决定了相互作用,从而决定了家庭的增长率,并通过突变传递给后代。通过多层次的进化模拟,家庭特征和偏好被分组到具有部落间交配偏好的多个部落中。它说明了亲属关系结构的出现是文化关联的自发形成。出现的亲属关系结构的特征是婚姻交换的周期长度和社会中的周期数量。我们通过数值和分析方法澄清了它们的参数依赖性。合作与竞争的相对重要性决定了家庭之间是吸引还是排斥。不同的结构作为局部稳定的吸引子进化。复杂结构的形成和崩溃的概率取决于家庭的数量和突变率,表现出特征标度关系。现在可以根据微观相互作用以及它们的环境依赖性和进化的历史因果关系,探索宏观亲属关系结构。我们通过参考民族志观察和统计物理学和多层次进化的概念,提出了形成典型人类社会结构的基本因果机制。这种跨学科的合作将揭示人类社会的普遍特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/530c/11331076/d51fdb553f58/pnas.2405653121fig01.jpg

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