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How does a control theorist explain cognition?

Maxim Raginsky draws on control theory, engineering and philosophy to explore what makes biological brains intelligent, what artificial intelligence is missing, and what principles underlie biological autonomy.

In this “Brain Inspired” episode, Paul Middlebrooks talks with Maxim Raginsky, professor of electrical and computer engineering at the University of Illinois Urbana-Champaign. Raginsky’s deep training in machine learning, optimization and control, plus his penchant for philosophy, gives him a unique perspective. They discuss multiple cybernetic approaches to control, the differences between biological and artificial intelligence, and more.

Read the transcript.

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