劳动分工是社会进化的关键驱动力。

IF 5.4 2区 生物学 Q1 BIOLOGY
Michael Taborsky, Jennifer H Fewell, Robert Gilles, Barbara Taborsky
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引用次数: 0

摘要

社会劳动分工(DoL)作为人类社会经济成功的关键驱动力而闻名,这可以追溯到古代哲学家,如柏拉图(公元前380年在《理想国》中),色诺芬(公元前370年在《塞罗帕迪亚》中)和亚里士多德(公元前350年在《政治学》中,公元前340年在《尼各马可伦理学》中)。随着时间的推移,这一概念演变成了政治经济思想的基石,在斯密(1776年的《国富论》)中得到了最突出的表达。亚当·斯密在他的巨著中提出,人工智能比人类历史上任何其他因素都更能促进生产增长。毫无疑问,DoL极大地增加了人类和其他生物体的生产力产出,但不太清楚它是如何产生的,它是如何组织的,以及这种人类“涡轮增强器”的生物学根源是什么。我们在这里使用广泛的生物和各种建模方法的研究结果来解决这些问题。本文是“劳动分工是社会进化的关键驱动力”主题的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Division of labour as key driver of social evolution.

The social division of labour (DoL) has been renowned as a key driver of the economic success of human societies dating back to ancient philosophers such as Plato (in The Republic, ca 380 BCE), Xenophon (in Cyropaedia, ca 370 BCE) and Aristotle (in Politics, ca 350 BCE, and Nicomachean Ethics, ca 340 BCE). Over time, this concept evolved into a cornerstone of political economic thought, most prominently expressed in Smith (in The Wealth of Nations, 1776). In his magnum opus, Adam Smith posited that DoL has caused a greater increase in production than any other factor in human history. There is little doubt that DoL immensely increases productive output, both in humans and in other organisms, but it is less clear how it comes about, how it is organized and what the biological roots are of this human 'turbo enhancer'. We address these questions here using results from studies of a wide range of organisms and various modelling approaches.This article is part of the theme issue 'Division of labour as key driver of social evolution'.

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来源期刊
CiteScore
11.80
自引率
1.60%
发文量
365
审稿时长
3 months
期刊介绍: The journal publishes topics across the life sciences. As long as the core subject lies within the biological sciences, some issues may also include content crossing into other areas such as the physical sciences, social sciences, biophysics, policy, economics etc. Issues generally sit within four broad areas (although many issues sit across these areas): Organismal, environmental and evolutionary biology Neuroscience and cognition Cellular, molecular and developmental biology Health and disease.
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