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INTRODUCTION TO EXPERT SYSTEMS
THE REPRESENTATION OF KNOWLEDGE
METHODS OF INFERENCE
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activated agenda algorithm answer antecedent application argument assert attempt-rule attribute axioms backward chaining belief best-color block called certainty factors Chapter CLIPS command conclusion crlf cycle decision tree deffacts defined defrule Dempster-Shafer theory determine device elements evidence example execution expert system expression fact fact-list field constraint following rule forward chaining fuzzy logic fuzzy set goal human expert hypothesis inference engine input knowledge engineer knowledge-base language LISP logical name main-course means membership grade modus ponens multifield value MYCIN numeric-value on-top-of operator OPS5 output partial matches pattern matching phase possible predicate logic premises printout probability problem procedure PROLOG PROSPECTOR quantifier raw-value reasoning represent Rete Algorithm retract rule of inference rule-based rules fired salience sensor values shown following shown in Figure solve specific stack statement string subset syllogism symbol syntax Table template theorem true uncertainty valid variable