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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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Autor principal: Gershenson, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
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
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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.
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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
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