Uncertainty in Artificial Intelligence, Volume 1Laveen Kanal (N.), John F. Lemmer |
Contents
Malcolm Bauer Bell Communications Research Morristown NJ 07974 | 3 |
R K Bhatnagar and L N Kanal 3 | 18 |
Consensus Rules | 25 |
Copyright | |
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Common terms and phrases
absolute belief approach argument Artificial Intelligence assume assumptions axioms balls Bayes Bayesian Bayesian probability Bel H E belief functions belief update calculus certainty factor model change in belief combination function combination rule Computer conditional independence conditional probabilities conflict consensus constraints corresponding decision defined degree of belief Dempster-Shafer theory Dempster's rule E₁ E₂ equation example expert systems Figure formalism frame of discernment fuzzy logic fuzzy numbers Fuzzy Sets given graph H₁ hypothesis inconsistent influence diagram knowledge label likelihood ratio mathematical maximum entropy measures of belief method modularity monotonic MYCIN nodes non-monotonic logics operator p(Age parallel combination pieces of evidence possible posterior prior prior probabilities probabilistic interpretation probabilistic logic probabilistic reasoning probability distribution probability theory problem propagation properties proposition PROSPECTOR relative entropy represent representation result satisfies semantics sensor sequential combination Shafer Shortliffe subset T-norms term set tion uncertain uncertainty variable Zadeh