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Why Expert Systems?
Improving your Expert
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actually answer array RULES Artificial Intelligence backward chaining BASIC Beak Bird Plane bronchitis calculate conditional probabilities consider correct outcome DATA DECISION DENDRAL dry day Dry Dry Dry Rain Engine Exercise Expert EXPERT Node expert system fact forward chaining given Glider GOSUB guess human expert hypothesis IBM PC ignore Initialise Expert Input Examples instance J=1 TO OUTCOMES judgement Knowledge Base language linearly separable Load Current Expert Locomotive Basic look machine code maximum values medical diagnosis method minimum and maximum MYCIN Normal Running normally distributed object occur possible outcomes predict PRINT prior probability probability of rain problem Prolog question Rain Rain rain today rain tomorrow rainfall reason reply rule values Save Current Expert set of rules simply Suppose symptoms Temperature there's thing training session Undercarriage VALUE(I VIVO weather forecasting Wings