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Five anticipation communities in complex systems sciences Complexity science and its visions of the future

机译:复杂系统科学复杂性科学的五个期待社区及其未来的愿景

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摘要

Complexity science has always been ambivalent about the possibility to foretell the future. On one side, one of its leitmotivs has aimed at highlighting the intrinsic uncertainty and unpredictability of 'multi-scale,' 'non-linear' and 'evolutionary' systems, because of their sensitivity to initial conditions. On the other side, some complex systems specialists tackle the future almost daily but show different attitudes toward it. For example, some scholars find easier to foretell the long run evolution of a system, but only in a coarse-grained manner, while others propose to follow and predict the agents of a modeled system almost individually, thanks to their fine-grained computer simulations. In this article, five anticipation communities within complexity science are described by studying their research, their normative views, their extra-academic activities, and their anticipation activity. To expound these groups in a coherent fashion, I will use and readapt for my study the concept of 'anticipation communities' introduced by French sociologist Celine Granjou. The five groups described here are named as follows: the 'high-frequency prediction,' the 'open-ended evolution,' the 'decentralized prediction,' the 'future coconstruction,' and the 'centralized anticipation' communities.
机译:复杂性科学一直是矛盾的,可能是预防未来的可能性。在一方面,其中一个LeitMotiv旨在突出“多尺度”,“非线性”和“进化”系统的内在不确定性和不可预测性,因为它们对初始条件的敏感性。另一方面,一些复杂的系统专家几乎每天都解决未来,但对其表现出不同的态度。例如,一些学者发现更容易预测系统的长期演变,而是只以粗糙的方式进展,而其他学者则提出几乎单独地单独地进行建模系统的代理,相反,他们的细粒度的计算机模拟。在本文中,通过研究他们的研究,规范性观点,学术活动以及预期活动来描述复杂性科学中的五个期待社区。以一致的方式阐述这些群体,我将使用和阅读我的研究法国社会学家Celine Granjou引入的“预期社区”的概念。这里描述的五组命名为如下:“高频预测”,“开放式演化”,“分散预测”,“未来的椰子堡”和“集中预期”社区。

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