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
收藏
页数:13
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