Automated medical student-a computational model of skill acquisition and expert performance
M.M. McMillan, D.C. Walter · 2003
A description of a medical expert system called the automated medical student (AMS) which attempts to combine models of learning with models of expert performance is presented. AMS's domain is the pediatric subspecialty of neonatology. Unlike traditional expert systems, which are built upon a knowledge base developed through some method of protocol analysis, AMS's knowledge base is acquired gradually through experience. AMS utilizes several expert systems and artificial intelligence methodologies, including rule- and frame-based reasoning, reasoning from first principles, and a connectionist network model of expert performance.>