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Introduction by Glenn Shafer and Judea Pearl
The Meaning Of Probability
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actions algorithm application approach architecture Artificial Intelligence assess assumptions axioms Bayes Bayesian behavior biopsy calculated CASNET causal certainty factors choice clinical clique Cohen combination function conditional independence conditional probabilities confirmation consider construct control strategies decision analysis decision theory decision tree defined degrees of belief depends described diagnosis discussion disease domain evaluation evidence example expected utility expert systems frequentist given goals graph heuristic hypothesis inference influence diagram interpretation judgments knowledge likelihood ratio logical managing uncertainty measure methods MYCIN node normative observed outcomes parameters patient PGPs physicians planning possible postulate potential predictions preferences prior probability probability distribution probability theory problem propagation propositions represent representation robot rules Savage's Section selection Shafer Shortliffe simulation small world specific statistical structure subjective subjective expected utility T-norms techniques Theorem therapy tion Tversky updating variables