ROGET: A knowledge-based system for acquiring the conceptual structure of a diagnostic expert system

This paper describes ROGET, a knowledge-based system that assists a domain expert with an important design task encountered during the early phases of expert-system construction. ROGET conducts a dialogue with the expert to acquire the expert system's conceptual structure, a representation of the kinds of domain-specific inferences that the consultant will perform and the facts that will support these inferences. ROGET guides this dialogue on the basis of a set of advice and evidence categories. These abstract categories are domain independent and can be employed to guide initial knowledge acquisition dialogues with experts for new applications. This paper discusses the nature of an expert system's conceptual structure and describes the organization and operation of the ROGET system that supports the acquisition of conceptual structures.

[1]  C. O. Sylvester Mawson,et al.  Roget's international thesaurus of English words and phrases : a complete book of synonyms and antonyms, founded upon and embodying Roget's original work, with numerous additions and modernizations , 1933 .

[2]  E H Shorthffe,et al.  Computer-based medical consultations mycin , 1976 .

[3]  Janice Sue Aikins,et al.  Prototypes and production rules : a knowledge representation for computer consultations , 1980 .

[4]  Lawrence Birnbaum,et al.  The Organization of Expert Systems, A Tutorial , 1982, Artif. Intell..

[5]  Edward H. Shortliffe,et al.  ONCOCIN: An Expert System for Oncology Protocol Management , 1981, IJCAI.

[6]  Saul Amarel Expert behaviour and problem representations , 1984 .

[7]  G. Gorry,et al.  Towards the simulation of clinical cognition. Taking a present illness by computer. , 1976, The American journal of medicine.

[8]  John P. McDermott,et al.  R1: A Rule-Based Configurer of Computer Systems , 1982, Artif. Intell..

[9]  Joshua Lederberg,et al.  Applications of Artificial Intelligence for Organic Chemistry: The DENDRAL Project , 1980 .

[10]  J. William,et al.  System aids in constructing consultation programs , 1981 .

[11]  H. E. Pople,et al.  Internist-I, an Experimental Computer-Based Diagnostic Consultant for General Internal Medicine , 1982 .

[12]  E H Shortliffe,et al.  PUFF: an expert system for interpretation of pulmonary function data. , 1982, Computers and biomedical research, an international journal.

[13]  W. R. Swartout PRODUCING EXPLANATIONS AND JUSTIFICATIONS OF EXPERT CONSULTING PROGRAMS , 1981 .

[14]  Lawrence M. Fagan,et al.  Representation of Dynamic Clinical Knowledge: Measurement Interpretation in the Intensive Care Unit , 1979, IJCAI.

[15]  Sholom M. Weiss,et al.  Using Empirical Analysis to Refine Expert System Knowledge Bases , 1984, Artif. Intell..

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

[17]  Edward H. Shortliffe,et al.  Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence) , 1984 .

[18]  William J. Clancey,et al.  NEOMYCIN: Reconfiguring a Rule-Based Expert System for Application to Teaching , 1981, IJCAI.

[19]  Harry E. Pople,et al.  The Formation of Composite Hypotheses in Diagnostic Problem Solving: An Exercise in Synthetic Reasoning , 1977, IJCAI.

[20]  Clifford R. Hollander,et al.  DART: An Expert System for Computer Fault Diagnosis , 1981, IJCAI.

[21]  Dorothea P. Simon,et al.  Expert and Novice Performance in Solving Physics Problems , 1980, Science.

[22]  Victor R. Lesser,et al.  The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty , 1980, CSUR.

[23]  Robert S. Engelmore,et al.  SACON: A Knowledge-Based Consultant for Structural Analysis , 1979, IJCAI.

[24]  Douglas B. Lenat,et al.  Knowledge-Based Systems in Artificial Intelligence: 2 Case Studies , 1982 .

[25]  Mark Jeffrey Stefik Planning with constraints , 1980 .

[26]  Frederick Hayes-Roth,et al.  Building expert systems , 1983, Advanced book program.

[27]  G. Gorry,et al.  Capturing clinical expertise. A computer program that considers clinical responses to digitalis. , 1978, The American journal of medicine.