Mycin
1970s rule-based expert system for diagnosing bacterial infections, an early demonstration of encoding specialist knowledge in software.
4 milestones
PUFF expert system interprets pulmonary function tests at Stanford
In 1983, Janice S. Aikins, John C. Kunz, and Edward H. Shortliffe of Stanford University published a description of PUFF, a rule-based expert system that automated interpretation of pulmonary function test data at Pacific Medical Center in San Francisco, producing physician-reviewed diagnostic reports without manual analysis.
Meta-Level Knowledge in Expert Systems: Davis and Lenat's Formalisation at Stanford
In 1977, Randall Davis and Douglas Lenat at Stanford University published research formalising meta-level knowledge, a system's explicit representations of its own knowledge and reasoning strategies, and demonstrated its application in the MYCIN and AM expert systems to improve inference control and self-directed learning.
MYCIN: A Rule-Based Expert System for Infectious Disease Diagnosis, Developed at Stanford University
Beginning around 1972, Edward Shortliffe at Stanford University developed MYCIN, a rule-based expert system written in Lisp that used approximately 600 if-then rules to diagnose bacterial blood infections and recommend antibiotic treatments adjusted for patient body weight, establishing a widely studied model for clinical decision support.
Stanford Heuristic Programming Project founded by Edward Feigenbaum
In 1970, Edward Feigenbaum founded the Heuristic Programming Project (HPP) at Stanford University, establishing a dedicated research group to investigate the construction of knowledge-based expert systems and their application to scientific and medical domains.