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Cultural complexity and evolution in fluctuating environments

机译:波动环境中的文化复杂性和演化

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摘要

The effect of environmental change on the rate of innovation and level of cultural complexity in a population is a theoretically understudied piece of an important puzzle at the heart of cultural evolution. Many mathematical models of cultural complexity have focused on the role of demographic factors such as population size or density. However, statistical studies often point to environmental variability as an important factor determining complexity in many cases. The aim of this study is to explore the interaction between environmental fluctuations and the rate of cultural innovation within a population and to examine the relationship between rates of innovation and the probability of maintaining a complex cultural repertoire in a changing environment. Two models are presented that draw on previous models used to examine rates of genetic mutation. The models show that, as in a genetic system, the stable rate of cultural innovation in a population decreases with environmental stability and increases in unstable environments. This effect is similar but quantitatively different for different modes of cultural transmission (success bias, conformity bias and random oblique learning). The model shows that innovation can increase diversity but that this relationship depends critically on learning mode and learning parameters.
机译:环境变化对人口中的创新率和文化复杂程度的影响是一个理论上,在文化进化核心的理论上是一个重要的难题。许多数学模型的文化复杂性专注于人口统计因素(如人口大小或密度)的作用。然而,统计研究通常指向环境变异性,作为许多情况下确定复杂性的重要因素。本研究的目的是探讨人口中环境波动与文化创新率之间的互动,并审查创新率与维护复杂文化曲目之间的关系。提出了两种型号,借鉴以前用于检查基因突变率的模型。该模型表明,如在遗传系统中,人口中的文化创新稳定率随着环境稳定而降低,不稳定环境增加。对于不同的文化传输模式(成功偏见,符合性偏见和随机倾斜学习),这种效果类似但定量不同。该模型表明,创新可以提高多样性,但这种关系批判性地依赖于学习模式和学习参数。

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