论文信息 - Learning Production Rules for Consultation Systems

Learning Production Rules for Consultation Systems

Production rules, with associated measures of probability or confidence, play an important role in contemporary consultation systems. Procedures have been developed which learn a set of probabilistic production rules from a training sample. We have experimented with these methods, by deriving a set of production rules from a medical data base.

Casimir A. Kulikowski | Sholom M. Weiss | Bernard Nudel

[1] Tom M. Mitchell,et al. Version Spaces: A Candidate Elimination Approach to Rule Learning , 1977, IJCAI.

[2] Ryszard S. Michalski,et al. AQVAL/1--Computer Implementation of a Variable-Valued Logic System VL1 and Examples of its Application to Pattern Recognition , 1973, IJCAI 1973.

[3] M F Collen,et al. Towards automated medical decisions. , 1972, Computers and biomedical research, an international journal.

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

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

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