Liquid brains, solid brains.


Journal

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
ISSN: 1471-2970
Titre abrégé: Philos Trans R Soc Lond B Biol Sci
Pays: England
ID NLM: 7503623

Informations de publication

Date de publication:
10 06 2019
Historique:
entrez: 23 4 2019
pubmed: 23 4 2019
medline: 24 3 2020
Statut: ppublish

Résumé

Cognitive networks have evolved a broad range of solutions to the problem of gathering, storing and responding to information. Some of these networks are describable as static sets of neurons linked in an adaptive web of connections. These are 'solid' networks, with a well-defined and physically persistent architecture. Other systems are formed by sets of agents that exchange, store and process information but without persistent connections or move relative to each other in physical space. We refer to these networks that lack stable connections and static elements as 'liquid' brains, a category that includes ant and termite colonies, immune systems and some microbiomes and slime moulds. What are the key differences between solid and liquid brains, particularly in their cognitive potential, ability to solve particular problems and environments, and information-processing strategies? To answer this question requires a new, integrative framework. This article is part of the theme issue 'Liquid brains, solid brains: How distributed cognitive architectures process information'.

Identifiants

pubmed: 31006374
doi: 10.1098/rstb.2019.0040
pmc: PMC6553592
doi:

Types de publication

Introductory Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

20190040

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Auteurs

Ricard Solé (R)

1 ICREA-Complex Systems Lab, Universitat Pompeu Fabra , Carrer del Dr Aiguader 88, Barcelona 08003 , Spain.
2 Institut de Biologia Evolutiva (Universitat Pompeu Fabra-CSIC) , Passeig Maritim 37, Barcelona 08003 , Spain.
3 Santa Fe Institute , 1399 Hyde Park Road, Santa Fe NM 87501 , USA.

Melanie Moses (M)

3 Santa Fe Institute , 1399 Hyde Park Road, Santa Fe NM 87501 , USA.
4 Department of Computer Science, University of New Mexico , Albuquerque, NM 87131 , USA.

Stephanie Forrest (S)

3 Santa Fe Institute , 1399 Hyde Park Road, Santa Fe NM 87501 , USA.

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Classifications MeSH