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David Poole is a Professor Emeritus at the University of British Columbia. With a Ph.D. from the Australian National University in 1984, he has held several academic positions, including Assistant Professor and Associate Professor at the University of Waterloo and UBC. His research interests primarily focus on Artificial Intelligence and Machine Learning, emphasizing theoretical and empirical investigations into automated reasoning. He aims to understand the principles guiding action in natural and artificial agents, considering aspects such as goals, background knowledge, and the limitations of perception and computation. Over the years, he has worked on non-monotonic reasoning, probabilistic reasoning, and decision theory, employing Bayesian networks for recognition and diagnosis tasks. Additionally, Poole has contributed to various research groups and received several accolades, including the UAI Student Paper Award and CAIAC Lifetime Achievement Award.
University of British Columbia • Vancouver, BC, Canada
Conducts research and teaches in the field of computer science, specializing in artificial intelligence and machine learning.
Offers course-only and thesis routes. Focus areas include philosophy of science, mind, ethics, and Asian philosophy.