## Uncertainty in Artificial Intelligence, Volume 1 |

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### Contents

Malcolm Bauer Bell Communications Research Morristown NJ 07974 | 3 |

R K Bhatnagar and L N Kanal 3 | 18 |

Consensus Rules | 25 |

Copyright | |

32 other sections not shown

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### Common terms and phrases

absolute belief application approach argument Artificial Intelligence assessment assume assumptions axioms balls Bayes Bayesian belief functions belief update calculus certainty factor model change in belief combination function combination rule Computer conditional independence conditional probability conditionally independent conflict consensus consider constraints corresponding decision defined degree of belief Dempster-Shafer theory Dempster's rule equation evidential confirmation example expert systems Figure formalism frame of discernment fuzzy logic fuzzy numbers Fuzzy Sets given graph hypothesis inconsistency inference influence diagram label likelihood ratio mathematical maximum entropy measures of belief metaprobability method modularity monotonic MYCIN nodes parallel combination parameters pieces of evidence posterior prior prior probabilities probabilistic inference probabilistic interpretation probabilistic logic probabilistic reasoning probability distribution probability theory propagation properties proposition PROSPECTOR represent representation result sample space satisfies sensor sequential combination Shafer Shortliffe subset T-norms term set theorem tion truth value uncertain uncertainty variables Zadeh