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Guiding the Self-Organization of Cyber-Physical Systems

Carlos Gershenson
Tuesday, January 28, 2020, 1:30 pm – 2:30 pm

ABSTRACT / Self-organization is present in several physical, chemical, and biological systems. Also, it offers a promising approach for designing and engineering adaptive systems. Given the inherent complexity of most cyber-physical systems, adaptivity is desired, as predictability is limited. I will mention different concepts and approaches that can facilitate self-organization in cyber-physical systems, and thus be exploited for design. Then I will use real-world examples developed in our lab 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.

BIO / Carlos is a tenured research professor at the Universidad Nacional Autónoma de México. He has a broad variety of academic interests, including self-organizing systems, complexity, artificial life, information, evolution, cognition, artificial societies, and philosophy. Carlos is also a tenured full-time research professor (investigador titular), leader of the Self-organizing Systems Lab, and was head (2012-2015) of the Computer Sciences Department of the Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas (IIMAS) of the Universidad Nacional Autónoma de México (UNAM). In addition, he is a researcher associated to the Centro de Ciencias de la Complejidad (C3) of the UNAM.