Readings in Uncertain ReasoningGlenn Shafer, Judea Pearl Most everyday reasoning and decision making is based on uncertain premises. This volume collects 42 key papers from the literature, addressing the methods that have been used in artificial intelligence to build systems with the ability to manage uncertainty. The editors have added volume and sectio |
Contents
Introduction by Glenn Shafer and Judea Pearl | 1 |
The Meaning Of Probability | 7 |
3 | 33 |
Copyright | |
32 other sections not shown
Common terms and phrases
amphotericin application approach architecture Artificial Intelligence assess assumptions axioms Bayes Bayesian Bayesian network behavior biopsy calculus CASNET causal certainty factor model choice clinical Cohen combination function conditional independence conditional probabilities confirmation consider control strategies decision analysis decision theory decision tree defined degrees of belief diagnosis discussion disease domain evaluation evidence example expected utility expert systems frequentist given goals graph heuristic hypothesis inference influence diagram judgments knowledge layer likelihood ratio logical managing uncertainty measure methods module MYCIN node normative observed outcomes P(HE parallel combination parameters patient Pearl PGPs physicians planning possible postulate predictions preferences prior probability probabilistic interpretation probability theory problem propagation proposition represent representation robot rules Savage's sequential combination Shafer Shortliffe simulation small world specific statistical structure subjective expected utility T-norms techniques theorem therapy tion Tversky updating variables