## Expert systems: knowledge, uncertainty, and decision |

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### Contents

KNOWLEDGE ENGINEERING AND DECISION SUPPORT | 3 |

KNOWLEDGE AND KNOWLEDGE REPRESENTATION | 19 |

DATABASES AND KNOWLEDGEBASED SYSTEMS | 43 |

Copyright | |

10 other sections not shown

### Common terms and phrases

algebra algorithm analysis antecedent applications approach artificial intelligence attributes axioms backward chaining blackboard system calculus Chapter classical cognitive complex computer systems concept concerned consider construct context database deal decision support systems defined definition degree domain example expert systems expressed first-order first-order logic formal function fuzzy frames fuzzy logic fuzzy relations fuzzy set theory fuzzy subset given goal human hypothesis implementation introduced knowledge base knowledge elicitation knowledge engineering knowledge representation knowledge-based systems linguistic LISP mathematical methods modal logic modus ponens MYCIN natural language nonmonotonic logic normal form notion objects operations options possible practical predicate probability problem procedural production rules PROLOG proposition question reader relational model represent rules of inference selected semantic slots statement strategy structure symbols Table techniques theorem topos true truth value uncertainty variables Zadeh