A practical guide to designing expert systems
This book offers a practical introduction to expert systems and is designed not only for computer programmers but for all those who want to know how expert systems are structured and what they can do.
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Reasoning Methods for Expert Systems
Historical Overview of Applications of Expert Systems
Designing an Expert System
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advice alternative antecedent application approach artificial intelligence auto repair model backward chaining Battery Discharged building an expert CASNET causal changes Checklist classification model classification problems complex components confidence measures connective tissue disease Cranking data base decision rules DENDRAL described designing an expert developed diagnosis domain encode evaluation evidence example expert knowledge expert model expert sys expert system expert's conclusion expertise fault diagnosis Figure formal heuristic HH rules human expert important inference intermediate hypotheses INTERNIST-I interpretation knowledge acquisition knowledge base knowledge engineer Komatiite logical MACSYMA MCTD methods model designer MYCIN observations pattern performance possible probability production rules PROSPECTOR Protein Diagnostic Program questionnaire questions relatively representation require rule refinement sample satisfied scheme scoring function scotoma Serum Protein Diagnostic serum protein electrophoresis session simple specific starter statistics strategy structure task ultramafic weight well-log analysis