CENTAUR
 

CENTAUR interprets pulmonary test results to determine the presence and severity of possible lung disease in a patient. The system uses information on the amount of gas in the lungs and the rate of flow of gas in and out of the lungs to make its decisions.

A frame and rule combination is used to represent the system's knowledge, and certainty factors are included to permit inexact reasoning. The system is implemented in LISP and was developed at Stanford University. For purposes of comparison, CENTAUR was developed for the same task domain as PUFF, interpretation of pulmonary function tests (1977-1980)

Aikins, J.S., Prototypical knowledge for expert systems, Artificial Intelligence,vol.20, pp. 163-210, 1983.