不同时间尺度下基于个体的模型

Aurélien Velleret
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引用次数: 4

摘要

这篇文章是描述基于个体的模型的缩放限制的具体最新结果的介绍。由于它们,我们希望将人口动态和自然选择的典型时间尺度与以个人为基础的模型的参数联系起来。尽管这些结果在数学和生物学层面上都不是详尽无遗的,但它们是相辅相成的。事实上,它们为许多经典的时间尺度提供了一个视角。也就是说,它们包括单个个体预期寿命的典型时间尺度,可以通过其人口动态特征来描述人口的较长时间尺度,以及至少四个相互关联的选择发生的时间尺度。极限行为通常是确定的。然而,由于在谱系的历史中存在对随机性的选择性影响,概率论被证明是理解结果的关键因素。此外,在极限动力学中可以保持随机性,例如对群体中罕见突变的固定进行建模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Individual-based models under various time-scales
This article is a presentation of specific recent results describing scaling limits of individual- based models. Thanks to them, we wish to relate the time-scales typical of demographic dynamics and natural selection to the parameters of the individual-based models. Although these results are by no means exhaustive, both on the mathematical and the biological level, they complement each other. Indeed, they provide a viewpoint for many classical time-scales. Namely, they encompass the timescale typical of the life-expectancy of a single individual, the longer one wherein a population can be characterized through its demographic dynamics, and at least four interconnected ones wherein selection occurs. The limiting behavior is generally deterministic. Yet, since there are selective effects on randomness in the history of lineages, probability theory is shown to be a key factor in understanding the results. Besides, randomness can be maintained in the limiting dynamics, for instance to model rare mutations fixing in the population.
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