文化进化的成功提高了人类达到的最高阶段的可变性。

Sofia Laura Ferreira Leite
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引用次数: 3

摘要

层次复杂性模型通过表示层次复杂性的顺序,对行为进行一维表征。结果表明,可以直接比较种间行为。从物种间的比较中,一个有趣的问题是,为什么人类进化得最快,达到了最高的平均阶段,并在成人达到的最高阶段达到了最高的变异性。我们假设,人口增长是人类平均发展阶段向上转移的一个主要因素,反过来,这是文化进化的先决条件。我们也认为竞争和选择是与阶段上升齐头并进的核心过程。结果表明,种群增长与阶段上升呈强正相关。当种群数量从2个增加到161个时,有可能出现转系统第13期个体;典型的第14阶段个体从161人增加到4291人;跨模式的第15阶段个体从4291人增加到289855人。我们讨论了人口增长的加速可能是解释阶段上升的基本措施。因此,我们推断农业实践是解放人类进化的基础。虽然我们没有足够的数据来量化人类成人达到的最高阶段的最高变异性背后的原因,但我们认为变异性随着物种平均阶段的增加而增加。最后,我们就目前的人口得出了一些结论,预测印度可能会见证下一波创新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Successes in cultural evolution raises the variability in humans’ highest stage attained.
The model of hierarchical complexity characterizes behavior 1-dimensionally, by representing its order of hierarchical complexity. It results that interspecies behavior can be directly compared. From interspecies comparisons, 1 intriguing question is why humans evolved the most, attaining the highest average stage and the highest variability in the highest stage attained by adults. We hypothesize that population growth has been a major factor for shifting upward the average stage of development of humans, which, reciprocally, was a perquisite for cultural evolution. We also consider competition and selection as core processes that go hand-in-hand with the rise in stage. Results show that population growth and rise in stage are strongly positively correlated. The emergence of a metasystematic Stage 13 individual is possible with an increase of the population from 2 to 161 individuals; a paradigmatic Stage 14 individual emerges with an increase from 161 to 4291; and a crossparadigmatic Stage 15 individual emerges with an increase from 4,291 to 289,855 individuals. We discuss that acceleration of population growth might be a fundamental measure accounting for the rise in stage. We deduce that agricultural practices were, then, fundamental for liberating human evolution. Although we do not have sufficient data for quantifying the reason behind the highest variability in the highest staged attained by human adults, we suggest that variability increases with the increase in average stage of a species. Finally, we draw some conclusions in regards to current populations, predicting that India might witness the next wave of innovations.
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