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

artificial cells artificial intelligence artificial life autopoiesis chemical AI cognition semantic information synthetic biology synthetic cells systems chemistry

Journal

International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791

Informations de publication

Date de publication:
15 Sep 2023
Historique:
received: 11 08 2023
revised: 07 09 2023
accepted: 11 09 2023
medline: 29 9 2023
pubmed: 28 9 2023
entrez: 28 9 2023
Statut: epublish

Résumé

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.

Identifiants

pubmed: 37762444
pii: ijms241814138
doi: 10.3390/ijms241814138
pmc: PMC10532297
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Pasquale Stano (P)

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

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Classifications MeSH