Deep versus Compiled Knowledge Approaches to Diagnostic Problem-Solving

[1]  Benjamin Kuipers,et al.  Commonsense Reasoning about Causality: Deriving Behavior from Structure , 1984, Artif. Intell..

[2]  Michael J. Ginzberg,et al.  Artificial Intelligence Applications for Business , 1984 .

[3]  Balakrishnan Chandrasekaran,et al.  Expert Systems: Matching Techniques to Tasks. , 1983 .

[4]  B. Chandrasekaran,et al.  Towards a Taxonomy of Problem Solving Types , 1983, AI Mag..

[5]  B. Chandrasekaran,et al.  Conceptual Representation of Medical Knowledge for Diagnosis by Computer: MDX and Related Systems , 1983, Adv. Comput..

[6]  Peter E. Hart,et al.  Directions for AI in the eighties , 1982, SGAR.

[7]  Donald Michie.  High-Road and Low-Road Programs , 1981, AI Mag..

[8]  Ramesh S. Patil,et al.  Causal representation of patient illness for electrolyte and acid-base diagnosis , 1981 .

[9]  Ruston M. Hunt,et al.  A Fuzzy Rule-Based Model of Human Problem Solving in Fault Diagnosis Tasks , 1981 .

[10]  Fernando Gomez,et al.  Knowledge Organization and Distribution for Medical Diagnosis , 1981, IEEE Transactions on Systems, Man, and Cybernetics.

[11]  Sanjay Mittal,et al.  Overview of MDX-A System for Medical Diagnosis. , 1979 .

[12]  Casimir A. Kulikowski,et al.  EXPERT: A System for Developing Consultation Models , 1979, IJCAI.

[13]  Casimir A. Kulikowski,et al.  A Model-Based Method for Computer-Aided Medical Decision-Making , 1978, Artif. Intell..

[14]  Edward H. Shortliffe,et al.  Computer-based medical consultations, MYCIN , 1976 .

[15]  E. Shortliffe.  Computer-based medical consultations: mycin (elsevier north holland , 1976 .