Guiding the Self-Organization of Cyber-Physical Systems

被引：13

作者：

Gershenson, Carlos ^{[1
,2
,3
]}

机构：

[1] Univ Nacl Autonoma Mexico, Dept Ciencias Comp, Inst Invest Matemat Aplicadas & Sistemas, Mexico City, DF, Mexico

[2] Univ Nacl Autonoma Mexico, Ctr Ciencias Complejidad, Mexico City, DF, Mexico

[3] ITMO Univ, St Petersburg, Russia

来源：

FRONTIERS IN ROBOTICS AND AI | 2020年 / 7卷

关键词：

complexity; self-organization; information; adaptation; robustness; antifragility; COMPLEXITY; NETWORKS;

D O I：

10.3389/frobt.2020.00041

中图分类号：

TP24 [机器人技术];

学科分类号：

080202 ; 1405 ;

摘要：

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.

引用

页数：13

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