Machine Learning and Human Learning

Tom Mitchell

Abstract

For the past 30 years, researchers studying machine learning and researchers studying human learning have proceeded pretty much independently. We now know enough about both fields that it is time to re-ask the question: "How can studies of human learning and studies of machine learning inform one another?" This talk will address this question by briefly covering some of the key facts we now understand about both machine learning and human learning, then examining in some detail several specific types of machine learning which may provide surprisingly helpful models for understanding aspects of human learning (e.g., reinforcement learning, cotraining).

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