We read about computers that can master ancient games and drive cars. These days, headlines tout the latest breakthroughs in machine learning and neural networks. In 2011 Pearl won the Turing Award, computer science’s highest honor, in large part for this work.īut as Pearl sees it, the field of AI got mired in probabilistic associations. Bayesian networks made it practical for machines to say that, given a patient who returned from Africa with a fever and body aches, the most likely explanation was malaria. Pearl figured out how to do that using a scheme called Bayesian networks. Three decades ago, a prime challenge in artificial-intelligence research was to program machines to associate a potential cause to a set of observable conditions.
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