Abstract, Uncertain, Social: The Keys to Intelligence

Noah Goodman, Stanford University

Noah Goodman, Associate Professor of Psychology and Computer Science, Stanford University

Noah D. Goodman studies the computational basis of natural and artificial intelligence, merging behavioral experiments with formal methods from statistics and programming languages. His research topics include language understanding, social reasoning, concept learning, probabilistic programming languages, and applications. Professor Goodman received his PhD in mathematics from the University of Texas at Austin in 2003. In 2005 he entered cognitive science, working as a postdoc and research scientist at MIT. In 2010 he moved to Stanford, where he runs the Computation and Cognition Lab. Professor Goodman has published more than 150 papers in fields including psychology, linguistics, computer science, and mathematics. His work has been recognized by the James S. McDonnell Foundation Scholar Award, the Roger N. Shepard Distinguished Visiting Scholar Award, the Alfred P. Sloan Research Fellowship in Neuroscience, and six computational modeling prizes from the Cognitive Science Society. He is a fellow of the Uber AI Labs, academic cofounder and advisor of Gamalon Labs, and advisor to several other startups.

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