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Guiding the Self-Organization of Cyber-Physical Systems
Self-organization offers a promising approach for designing adaptive systems. Given the inherent complexity of most cyber-physical systems, adaptivity is desired, as predictability is limited. Here I summarize different concepts and approaches that can facilitate self-organization in cyber-physical...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805969/ https://www.ncbi.nlm.nih.gov/pubmed/33501209 http://dx.doi.org/10.3389/frobt.2020.00041 |
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author | Gershenson, Carlos |
author_facet | Gershenson, Carlos |
author_sort | Gershenson, Carlos |
collection | PubMed |
description | Self-organization offers a promising approach for designing adaptive systems. Given the inherent complexity of most cyber-physical systems, adaptivity is desired, as predictability is limited. Here I summarize different concepts and approaches that can facilitate self-organization in cyber-physical systems, and thus be exploited for design. Then I mention real-world examples of systems where self-organization has managed to provide solutions that outperform classical approaches, in particular related to urban mobility. Finally, I identify when a centralized, distributed, or self-organizing control is more appropriate. |
format | Online Article Text |
id | pubmed-7805969 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78059692021-01-25 Guiding the Self-Organization of Cyber-Physical Systems Gershenson, Carlos Front Robot AI Robotics and AI Self-organization offers a promising approach for designing adaptive systems. Given the inherent complexity of most cyber-physical systems, adaptivity is desired, as predictability is limited. Here I summarize different concepts and approaches that can facilitate self-organization in cyber-physical systems, and thus be exploited for design. Then I mention real-world examples of systems where self-organization has managed to provide solutions that outperform classical approaches, in particular related to urban mobility. Finally, I identify when a centralized, distributed, or self-organizing control is more appropriate. Frontiers Media S.A. 2020-04-03 /pmc/articles/PMC7805969/ /pubmed/33501209 http://dx.doi.org/10.3389/frobt.2020.00041 Text en Copyright © 2020 Gershenson. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Robotics and AI Gershenson, Carlos Guiding the Self-Organization of Cyber-Physical Systems |
title | Guiding the Self-Organization of Cyber-Physical Systems |
title_full | Guiding the Self-Organization of Cyber-Physical Systems |
title_fullStr | Guiding the Self-Organization of Cyber-Physical Systems |
title_full_unstemmed | Guiding the Self-Organization of Cyber-Physical Systems |
title_short | Guiding the Self-Organization of Cyber-Physical Systems |
title_sort | guiding the self-organization of cyber-physical systems |
topic | Robotics and AI |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805969/ https://www.ncbi.nlm.nih.gov/pubmed/33501209 http://dx.doi.org/10.3389/frobt.2020.00041 |
work_keys_str_mv | AT gershensoncarlos guidingtheselforganizationofcyberphysicalsystems |