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Common knowledge processing patterns in networks of different systems

Knowledge processing has patterns which can be found in biological neuron activity and artificial neural networks. The work explores whether an underlying structure exists for knowledge which crosses domains. The results show common data processing patterns in biological systems and human-made knowl...

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Detalles Bibliográficos
Autores principales: Segev, Aviv, Jung, Sukhwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10553345/
https://www.ncbi.nlm.nih.gov/pubmed/37796927
http://dx.doi.org/10.1371/journal.pone.0290326
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author Segev, Aviv
Jung, Sukhwan
author_facet Segev, Aviv
Jung, Sukhwan
author_sort Segev, Aviv
collection PubMed
description Knowledge processing has patterns which can be found in biological neuron activity and artificial neural networks. The work explores whether an underlying structure exists for knowledge which crosses domains. The results show common data processing patterns in biological systems and human-made knowledge-based systems, present examples of human-generated knowledge processing systems, such as artificial neural networks and research topic knowledge networks, and explore change of system patterns over time. The work analyzes nature-based systems, which are animal connectomes, and observes neuron circuitry of knowledge processing based on complexity of the knowledge processing system. The variety of domains and similarity in processing mechanisms raise the question: if it is common in natural and artificial systems to see this pattern-based knowledge processing, how unique is knowledge processing in humans.
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spelling pubmed-105533452023-10-06 Common knowledge processing patterns in networks of different systems Segev, Aviv Jung, Sukhwan PLoS One Research Article Knowledge processing has patterns which can be found in biological neuron activity and artificial neural networks. The work explores whether an underlying structure exists for knowledge which crosses domains. The results show common data processing patterns in biological systems and human-made knowledge-based systems, present examples of human-generated knowledge processing systems, such as artificial neural networks and research topic knowledge networks, and explore change of system patterns over time. The work analyzes nature-based systems, which are animal connectomes, and observes neuron circuitry of knowledge processing based on complexity of the knowledge processing system. The variety of domains and similarity in processing mechanisms raise the question: if it is common in natural and artificial systems to see this pattern-based knowledge processing, how unique is knowledge processing in humans. Public Library of Science 2023-10-05 /pmc/articles/PMC10553345/ /pubmed/37796927 http://dx.doi.org/10.1371/journal.pone.0290326 Text en © 2023 Segev, Jung https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Segev, Aviv
Jung, Sukhwan
Common knowledge processing patterns in networks of different systems
title Common knowledge processing patterns in networks of different systems
title_full Common knowledge processing patterns in networks of different systems
title_fullStr Common knowledge processing patterns in networks of different systems
title_full_unstemmed Common knowledge processing patterns in networks of different systems
title_short Common knowledge processing patterns in networks of different systems
title_sort common knowledge processing patterns in networks of different systems
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10553345/
https://www.ncbi.nlm.nih.gov/pubmed/37796927
http://dx.doi.org/10.1371/journal.pone.0290326
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