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Directionality theory: a computational study of an entropic principle in evolutionary processes

机译:方向性理论:进化过程中熵原理的计算研究

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摘要

Analytical studies of evolutionary processes based on the demographic parameter entropy—a measure of the uncertainty in the age of the mother of a randomly chosen newborn—show that evolutionary changes in entropy are contingent on environmental constraints and can be characterized in terms of three tenets: (i) a unidirectional increase in entropy for populations subject to bounded growth constraints; (ii) a unidirectional decrease in entropy for large populations subject to unbounded growth constraints; (iii) random, non-directional change in entropy for small populations subject to unbounded growth constraints. This article aims to assess the robustness of these analytical tenets by computer simulation. The results of the computational study are shown to be consistent with the analytical predictions. Computational analysis, together with complementary empirical studies of evolutionary changes in entropy underscore the universality of the entropic principle as a model of the evolutionary process.
机译:基于人口统计学参数熵的进化过程的分析研究(一种对随机选择的新生儿的母亲年龄的不确定性的度量)表明,熵的进化变化取决于环境约束,可以通过三个原则来表征: (i)受增长限制的人口的熵单向增加; (ii)受无限增长限制的大群体的熵单向下降; (iii)受无限增长约束的小群人群的熵的随机,无方向性变化。本文旨在通过计算机仿真评估这些分析原则的鲁棒性。计算研究的结果表明与分析预测一致。计算分析以及对熵演化变化的经验研究的补充强调了熵原理作为演化过程模型的普遍性。

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