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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Main Author:	Carlos Gershenson
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2020-04-01
Series:	Frontiers in Robotics and AI
Subjects:	complexity self-organization information adaptation robustness antifragility
Online Access:	https://www.frontiersin.org/article/10.3389/frobt.2020.00041/full

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spelling	doaj-003ab5955bb14a0091dc8e9467f1c3d02020-11-25T02:38:05ZengFrontiers Media S.A.Frontiers in Robotics and AI2296-91442020-04-01710.3389/frobt.2020.00041512610Guiding the Self-Organization of Cyber-Physical SystemsCarlos Gershenson0Carlos Gershenson1Carlos Gershenson2Departamento de Ciencias de la Computación, Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Mexico City, MexicoCentro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, MexicoITMO University, St Petersburg, RussiaSelf-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.https://www.frontiersin.org/article/10.3389/frobt.2020.00041/fullcomplexityself-organizationinformationadaptationrobustnessantifragility
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Carlos Gershenson Carlos Gershenson Carlos Gershenson
spellingShingle	Carlos Gershenson Carlos Gershenson Carlos Gershenson Guiding the Self-Organization of Cyber-Physical Systems Frontiers in Robotics and AI complexity self-organization information adaptation robustness antifragility
author_facet	Carlos Gershenson Carlos Gershenson Carlos Gershenson
author_sort	Carlos Gershenson
title	Guiding the Self-Organization of Cyber-Physical Systems
title_short	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_sort	guiding the self-organization of cyber-physical systems
publisher	Frontiers Media S.A.
series	Frontiers in Robotics and AI
issn	2296-9144
publishDate	2020-04-01
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.
topic	complexity self-organization information adaptation robustness antifragility
url	https://www.frontiersin.org/article/10.3389/frobt.2020.00041/full
work_keys_str_mv	AT carlosgershenson guidingtheselforganizationofcyberphysicalsystems AT carlosgershenson guidingtheselforganizationofcyberphysicalsystems AT carlosgershenson guidingtheselforganizationofcyberphysicalsystems
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Guiding the Self-Organization of Cyber-Physical Systems

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