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...Cs advanced topics in ai lecture probabilistic graphical models milos hauskrecht pitt edu sennott square x http www courses motivation medical example we want to build a system for the diagnosis of pneumonia problem description disease patient symptoms findings lab tests fever cough paleness wbc white blood cells count chest pain etc representation case statements that hold are true e g false wbccount high diagnostic task decide whether suffers from or not given uncertainty make inference possible need represent knowledge axioms relate and relations deterministic they uncertain stochastic vary modeling key challenges how manipulate such inferences humans can reason with probabilities random variables binary is either variable values multi valued one nopain mild moderate severe continuous heartrate value multivariate vector whose components individual state an assignment var t f medium quantifies likely outcome unconditional prior p probability distribution defines all assignments mutua...