Analogy is the core of all thinking, underlying our ability to categorize, generalize and abstract our direct experience. In this talk, we will review work on concepts, categories and analogies in cognitive science and A.I., revealing a pattern often found at the intersection of these fields: cognitive science looks toward A.I. for hypotheses about how the mind works, while A.I. looks toward cognitive science for an example of a machine — the mind — that can actually solve the problem at hand. We close by reviewing deployment of the discussed A.I. technologies to business.
About the speaker
Prof. Jordan Suchow is an assistant professor at the School of Business at Stevens who teaches courses on web mining, cognition and the management of A.I. technologies. Dr. Suchow is a computational cognitive science whose work sits at the intersection of cognitive psychology and artificial intelligence/machine learning by building computational models of human learning, memory and decision-making, and by building A.I./M.L.-backed tools for behavioral data collection. He is the director of the Cognition Lab at Stevens, which is sponsored by DARPA’s Next Generation Social Science. Previously, Dr. Suchow was a postdoctoral fellow at University of California-Berkeley. He has a B.S. in computer science from Brandeis University, and an A.M. and Ph.D. in psychology from Harvard University.
About this series
The A.I. and Cognitive Science Speaker series is a set of virtual lectures designed to showcase the work of thought leaders in areas like artificial intelligence and machine learning, and their applications in business and society.