Chaos, complexity and computation in the evolution of biological systems.


Journal

Bio Systems
ISSN: 1872-8324
Titre abrégé: Biosystems
Pays: Ireland
ID NLM: 0430773

Informations de publication

Date de publication:
Jul 2022
Historique:
received: 30 11 2021
revised: 31 03 2022
accepted: 03 04 2022
pubmed: 11 4 2022
medline: 31 5 2022
entrez: 10 4 2022
Statut: ppublish

Résumé

Chaos, complexity and computation are especially important concepts with respect to both the Evolution of biological systems and the evolution of the Universe. We consider each of these five entities separately, and then view their combination in an overall consideration of both evolution and Evolution. The concept of computation can be directly derived from processes characteristic of the Evolution of biology or the evolution of the Universe, rather than presumed from our own mathematical ideas. We advocate the inclusion of meaning in science's deliberations, and support this by insisting that physically embodied abstractions should be considered part concrete in character. Combination of our initial five conceptual entities indicates that biological Evolution follows the same developmental criteria as the evolution of the Universe, albeit with an intermediate change in strategy. We conclude that evolutionarily derived computation is the prime driver of evolution/Evolutions' implications.

Identifiants

pubmed: 35398202
pii: S0303-2647(22)00061-2
doi: 10.1016/j.biosystems.2022.104671
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

104671

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Auteurs

Ron Cottam (R)

The Living Systems Project, Dept. of Electronics and Informatics, Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050, Brussels, Belgium. Electronic address: ricottam@etrovub.be.

Roger Vounckx (R)

The Living Systems Project, Dept. of Electronics and Informatics, Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050, Brussels, Belgium.

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Classifications MeSH