The classic MYCIN medical expert system developed at Stanford was constructed with approximately how many production rules and utilized which primary inference mechanism?
The classic MYCIN medical expert system developed at Stanford was constructed with approximately how many production rules and utilized which primary inference mechanism?
Multiple Choice Options
- A✓ Correct Option
~500 rules using Backward Chaining
- B
~500 rules using Forward Chaining
- C
~5000 rules using Backward Chaining
- D
~5000 rules using Forward Chaining
Detailed Technical Solution & Explanation
MYCIN was an early rule-based expert system developed at Stanford University in the 1970s to diagnose bacterial infections and recommend antibiotic therapies. It comprised approximately 450 to 500 IF-THEN heuristic production rules combined with certainty factors (CF). Its inference engine operated via backward chaining (goal-driven reasoning), starting from the hypothesis (e.g., 'the organism is Pseudomonas') and working backwards through antecedent rules to query laboratory findings.