Seminar Abstract: Distributed decision-making has become an increasingly popular method of reducing physical and computational difficulties in large-scale engineered systems. However, the emergent system behavior induced by these local decisions need not be optimal. As a method to elicit greater coordination, we can design not just how system-components act but also how they communicate. Bryce L. Ferguson will discuss several ways in which information-communication channels can be exploited as a method to control overall system behavior. Particularly, he will present a game-theoretic model for distributed decision making and demonstrate the possible benefits and costs of increasing communication in terms of gain/loss to equilibrium efficiency and solution complexity.

Speaker Bio: Bryce L. Ferguson is a Ph.D. candidate in the Electrical and Computer Engineering Department at the University of California, Santa Barbara. Bryce received his B.S. and M.S. in electrical engineering from the University of California, Santa Barbara in June 2018 and March 2020 respectively, and his A.A. in mathematics from Santa Rosa Junior College in 2016. He was named a 2022 CPS Rising Star and was a finalist for the Best Student Paper Award at the 2020 American Controls Conference. Bryce's research interests focus on using game theoretic methods for describing and controlling both societal and engineered multi-agent systems.

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