Expert Systems: Knowledge, Uncertainty, and DecisionA review of the present state of knowledge engineering, drawing together underlying theory from related disciplines, with particular attention to fuzzy logics, the theory of fuzzy sets, and decision support systems, along with practical applications. For managers wishing to evaluate expert decision systems, for systems designers and knowledge engineers, and for advanced undergraduate and graduate students in computer science. Many charts, diagrams, tables, and logical or mathematical formulas; extensive references. Annotation copyrighted by Book News, Inc., Portland, OR |
Contents
KNOWLEDGE ENGINEERING AND DECISION SUPPORT | 3 |
1 | 12 |
2 | 19 |
Copyright | |
10 other sections not shown
Other editions - View all
Expert Systems: Knowledge, Uncertainty, and Decision Ian Graham,Peter Llewelyn Jones No preview available - 1988 |
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 hanoi 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