Gershenson Carlos
Departamento de Ciencias de la Computación, Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Front Robot AI. 2020 Apr 3;7:41. doi: 10.3389/frobt.2020.00041. eCollection 2020.
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.
自组织为设计自适应系统提供了一种很有前景的方法。鉴于大多数信息物理系统固有的复杂性,由于可预测性有限,所以需要适应性。在此,我总结了不同的概念和方法,这些概念和方法可以促进信息物理系统中的自组织,从而可用于设计。然后我提及了一些现实世界中的系统实例,在这些系统中,自组织成功地提供了比传统方法更优的解决方案,特别是与城市交通相关的实例。最后,我确定了何时集中式、分布式或自组织控制更为合适。