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化学系统的湿件人工生命:合成细胞研究的若干观点。

Chemical Systems for Wetware Artificial Life: Selected Perspectives in Synthetic Cell Research.

机构信息

Department of Biological and Environmental Sciences and Technologies (DiSTeBA), University of Salento, 73100 Lecce, Italy.

出版信息

Int J Mol Sci. 2023 Sep 15;24(18):14138. doi: 10.3390/ijms241814138.

Abstract

The recent and important advances in bottom-up synthetic biology (SB), in particular in the field of the so-called "synthetic cells" (SCs) (or "artificial cells", or "protocells"), lead us to consider the role of wetware technologies in the "Sciences of Artificial", where they constitute the third pillar, alongside the more well-known pillars hardware (robotics) and software (Artificial Intelligence, AI). In this article, it will be highlighted how wetware approaches can help to model life and cognition from a unique perspective, complementary to robotics and AI. It is suggested that, through SB, it is possible to explore novel forms of bio-inspired technologies and systems, in particular chemical AI. Furthermore, attention is paid to the concept of semantic information and its quantification, following the strategy recently introduced by Kolchinsky and Wolpert. Semantic information, in turn, is linked to the processes of generation of "meaning", interpreted here through the lens of autonomy and cognition in artificial systems, emphasizing its role in chemical ones.

摘要

近年来,自下而上的合成生物学(SB)取得了重要进展,特别是在所谓的“合成细胞”(SCs)(或“人工细胞”或“原细胞”)领域,这使得我们开始考虑软件技术在“人工科学”中的作用,它构成了除了更为人所知的硬件(机器人技术)和软件(人工智能,AI)支柱之外的第三大支柱。在本文中,将重点介绍软件方法如何从独特的角度帮助模拟生命和认知,从而与机器人技术和 AI 形成互补。有人认为,通过 SB,可以探索新的仿生技术和系统形式,特别是化学 AI。此外,还关注语义信息及其量化的概念,这是遵循 Kolchinsky 和 Wolpert 最近提出的策略。反过来,语义信息与“意义”的生成过程相关联,在这里通过人工系统中的自主性和认知的视角来解释,强调其在化学系统中的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8225/10532297/dc3ec8625698/ijms-24-14138-g0A1.jpg

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