Expert Systems: Artificial Intelligence in BusinessIntroduces readers to the basic principles and the exciting promise of a new generation of computer programs known as knowledge or expert systems, and their associated technologies. Explains what they do, how they work, and how they will be used to increase efficiency and productivity. Knowledge systems are computer programs that can help solve problems in the same fashion as human experts. Many studies have concluded that in the course of the next 20 years, knowledge systems will revolutionize the way businesses are conducted, and this book provides a preview of how that revolution will occur. |
Contents
MYCIN | 16 |
Human Problem Solving | 33 |
Representing Knowledge | 41 |
Copyright | |
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allow analysis applications appropriate-response Artificial Intelligence attributes automation backward chaining breadth-first search certainty factors chapter clauses cognitive companies complex configuration consider consultation paradigms currently data base David King decision DENDRAL designed devel diagnosis domain DRILLING ADVISOR environment evaluate example expert system building expert system development expertise facts Figure forward chaining goal GUIDON hardware heuristics human experts hybrid systems implemented inference engine initial instructional IntelliCorp interact interface INTERLISP job aids knowl knowledge base knowledge engineer language large number LISP LISP machines machine MACSYMA managers media-to-consider memory ment modus ponens MYCIN objects OPS5 package particular performance problem solving procedures production rules PROLOG prototype questions response situation small knowledge system small systems specific stimulus-situation student symbolic system building tools task techniques Teknowledge tion training program training-budget values verbal VisiCalc workstations XCON