20th Annual Lecture

Leslie Valiant
T. Jefferson Coolidge Professor of Computer Science and Applied Mathematics,
Harvard University
Les Valiant

April 6, 2018 - 2:00PM
Wu & Chen Auditorium
101 Levine Hall
3330 Walnut Street




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Lecture Materials

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What Needs to be Added to Machine Learning?

Supervised learning is a cognitive phenomenon which has proved amenable both to theoretical analysis as well as exploitation as a technology. However, not all of cognition can be accounted for by supervised learning. The question we ask here is whether one can build on the success of machine learning to address the broader goals of artificial intelligence. We regard reasoning as the major component of cognition that needs to be added. We suggest that the central challenge therefore is to unify the formulation of these two phenomena, learning and reasoning, into a single framework with a common semantics. We propose Robust Logic for this role, as a framework with a satisfactory theoretical basis. Testing it experimentally on a significant scale remains a major challenge for the future.

University of Pennsylvania