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目标作为涌现的自创生过程。

Goals as Emergent Autopoietic Processes.

作者信息

Veloz Tomas

机构信息

Centre Leo Apostel for Interdisciplinary Studies, Vrije Universiteit Brussel, Brussels, Belgium.

Fundacion para el Desarrollo Interdisciplinario de la Ciencia, la Tecnologia y las Artes, Santiago, Chile.

出版信息

Front Bioeng Biotechnol. 2021 Nov 19;9:720652. doi: 10.3389/fbioe.2021.720652. eCollection 2021.

Abstract

While the phenomena of reaching a goal is generally represented in the framework of optimization, the phenomena of becoming of a goal is more similar to a "self-organization and emergent" rather than an "optimization and preexisting" process. In this article we provide a modeling framework for the former alternative by representing goals as emergent autopoietic structures. In order to conceptually situate our approach, we first review some of the most remarkable attempts to formally define emergence, and identify that in most cases such definitions rely on a preexisting system to be observed prior and post emergence, being thus inadequate for a formalization of emergent goals corresponding to the becoming of a systems as such (e.g. emergence of life). Next, we review how an implementation of the reaction networks framework, known as Chemical Organization Theory (COT), can be applied to formalize autopoietic structures, providing a basis to operationalize goals as an emergent process. We next revisit the definitions of emergence under the light of our approach, and demonstrate that recent taxonomies developed to classify different forms of emergence can be naturally deduced from recent work aimed to explain the kinds of changes of the organizational structure of a reaction network.

摘要

虽然实现目标的现象通常在优化框架中得到体现,但目标的形成现象更类似于一个“自组织与涌现”过程,而非“优化与预先存在”过程。在本文中,我们通过将目标表示为涌现的自创生结构,为前一种情况提供了一个建模框架。为了从概念上定位我们的方法,我们首先回顾一些最著名的正式定义涌现的尝试,并发现大多数情况下,此类定义依赖于一个预先存在的系统,以便在涌现之前和之后进行观察,因此不足以对与系统形成相对应的涌现目标进行形式化(例如生命的涌现)。接下来,我们回顾反应网络框架(称为化学组织理论,COT)的一种实现方式如何能够用于形式化自创生结构,为将目标作为一个涌现过程进行操作化提供基础。我们接着根据我们的方法重新审视涌现的定义,并证明最近为分类不同形式的涌现而发展的分类法可以自然地从旨在解释反应网络组织结构变化类型的近期工作中推导出来。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a380/8639531/04feafc2f96f/fbioe-09-720652-g001.jpg

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