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分子自生系统的多重形式系统制图学:从认知生物学和涌现论到预期和主动推断。

Cartography of the multiple formal systems of molecular autopoiesis: from the biology of cognition and enaction to anticipation and active inference.

机构信息

Earth and Life Institute, Université Catholique de Louvain, Belgium; Centro Nacional de Investigaciones Biotecnológicas, CNIB, Bolivia.

出版信息

Biosystems. 2023 Aug;230:104955. doi: 10.1016/j.biosystems.2023.104955. Epub 2023 Jun 16.

Abstract

A rich literature has grown up over the years that bears with autopoiesis, which tends to assume that it is a model, a theory, a principle, a definition of life, a property, refers to self-organization or even to hastily conclude that it is hylomorphic, hylozoist, in need of reformulation or to be overcome, making its status even more unclear. Maturana insists that autopoiesis is none of these and rather it is the causal organization of living systems as natural systems (NS) such that when it stops, they die. He calls this molecular autopoiesis (MA), which comprises two domains of existence: that of the self-producing organization (self-fabrication) and that of the structural coupling/enaction (cognition). Like all-NS in the universe, MA is amenable to be defined in theoretical terms, i.e. encoded in mathematical models and/or formal systems (FS). Framing the multiple formal systems of autopoiesis (FSA) into the Rosen's modeling relation (a process of bringing into equivalence the causality of NS and the inferential rules of FS), allows a classification of FSA into analytical categories, most importantly Turing machine (algorithmic) vs non-Turing machine (non-algorithmic) based, and FSA with a purely reactive mathematical image as cybernetic systems, i.e. feedbacks based, or conversely, as anticipatory systems making active inferences. It is thus the intent of the present work to advance the precision with which different FS may be observed to comply (preserve correspondence) with MA in its worldly state as a NS. The modeling relation between MA and the range of FS proposed as potentially illuminating their processes forecloses the applicability of Turing-based algorithmic computational models. This outcome indicates that MA, as modelled through Varela's calculus of self-reference or more especially through Rosen's (M,R)-system, is essentially anticipatory without violating structural determinism nor causality whatsoever, hence enaction may involve it. This quality may capture a fundamentally different mode of being in living systems as opposed to mechanical-computational systems. Implications in different fields of biology from the origin of life to planetary biology as well as in cognitive science and artificial intelligence are of interest.

摘要

多年来,已经形成了丰富的文献,这些文献与自创生理论有关,该理论倾向于假设它是一种模型、一种理论、一种原则、一种生命定义、一种属性,指的是自组织,甚至仓促地得出它是形态发生的、泛生论的、需要重新表述或克服的结论,从而使其地位更加不明确。马图拉纳坚持认为,自创生不是这些,而是生命系统作为自然系统的因果组织,以至于当它停止时,它们就会死亡。他称之为分子自创生(MA),它包含存在的两个领域:自我产生的组织(自我制造)和结构耦合/施动(认知)。与宇宙中的所有自然系统一样,MA 可以用理论术语来定义,即在数学模型和/或形式系统(FS)中进行编码。将自创生的多个形式系统(FSA)框定为罗森的建模关系(将自然系统的因果关系和 FS 的推理规则等同起来的过程),允许将 FSA 分类为分析类别,最重要的是基于图灵机(算法)与非图灵机(非算法)的分类,以及基于反馈的具有纯反应性数学图像的作为控制论系统的 FSA,或者相反,作为主动推理的预期系统。因此,本工作的目的是提高不同 FS 可以观察到的精确性,以符合(保持对应)作为自然系统的 MA 的世界状态。MA 与所提出的潜在阐明其过程的 FS 范围之间的建模关系排除了基于图灵的算法计算模型的适用性。这一结果表明,MA 作为通过瓦雷拉的自我参照演算或更特别是通过罗森的(M,R)-系统进行建模,在本质上是预期的,而不会违反结构决定论或因果关系,因此施动可能涉及到它。这种性质可能捕捉到生命系统与机械计算系统相比的一种根本不同的存在模式。从生命的起源到行星生物学以及认知科学和人工智能等不同生物学领域的意义都很重要。

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