Complex Systems Institute of Paris Île-de-France, CNRS, Paris, Île-de-France, France.
Centre d'Analyse et de Mathématique Sociales, EHESS Paris, Île-de-France, France.
Philos Trans R Soc Lond B Biol Sci. 2020 Apr 13;375(1796):20190329. doi: 10.1098/rstb.2019.0329. Epub 2020 Feb 24.
A few billion years have passed since the first life forms appeared. Since then, life has continued to forge complex associations between the different emergent levels of interconnection it forms. The advances of recent decades in molecular chemistry and theoretical biology, which have embraced complex systems approaches, now make it possible to conceptualize the questions of the origins of life and its increasing complexity from three complementary notions of closure: processes closure, autocatalytic closure and constraints closure. Developed in the wake of the second-order cybernetics, this triple closure approach, that relies on graph theory and complex networks science, sketch a paradigm where it is possible to go up the physical levels of organization of matter, from physics to biology and society, without resorting to strong reductionism. The phenomenon of life is conceived as the contingent complexification of the organization of matter, until the emergence of life forms, defined as a network of auto-catalytic process networks, organized in a multi-level manner. This approach of living systems, initiated by Maturana & Varela and Kauffman, inevitably leads to a reflection on the nature of cognition; and in the face of the deep changes that affected humanity as a complex systems, on the nature of cultural evolution. Faced with the major challenges that humanity will have to address in the decades to come, this new paradigm invites us to change our conception of causality by shifting our attention from state change to process change and to abandon a widespread notion of 'local' causality in favour of complex systems thinking. It also highlights the importance of a better understanding of the influence of social networks, recommendation systems and artificial intelligence on our future collective dynamics and social cognition processes. This article is part of the theme issue 'Unifying the essential concepts of biological networks: biological insights and philosophical foundations'.
几十亿年来,生命从最初的形态不断进化,在这个过程中,生命与自身不同的连接层次之间不断形成复杂的联系。近几十年来,分子化学和理论生物学领域的发展,已经开始采用复杂系统的方法,这些发展使得我们能够从三个互补的封闭性概念来思考生命起源及其日益复杂的问题:过程封闭性、自催化封闭性和约束封闭性。这种三重封闭性方法源自二阶控制论,它依赖于图论和复杂网络科学,勾勒出一个可以从物质的物理组织层次向上发展的范例,从物理学到生物学和社会科学,而无需采用强还原论。生命现象被视为物质组织的偶然复杂化,直到生命形式的出现,这些生命形式被定义为由自催化过程网络组成的网络,以多层次的方式组织起来。这种生命系统的方法是由 Maturana 和 Varela 以及 Kauffman 提出的,它不可避免地导致了对认知本质的反思;面对作为复杂系统的人类所经历的深刻变化,也对文化进化的本质进行了反思。面对人类在未来几十年必须应对的重大挑战,这种新范式邀请我们通过将注意力从状态变化转移到过程变化来改变我们对因果关系的概念,并放弃广泛存在的“局部”因果关系概念,转而采用复杂系统思维。它还强调了更好地理解社交网络、推荐系统和人工智能对我们未来集体动态和社会认知过程的影响的重要性。本文是“统一生物网络的基本概念:生物学见解和哲学基础”主题特刊的一部分。