论文信息 - Knowledge and expertise in expert systems

Knowledge and expertise in expert systems

An important trend in current artificial intelligence (A.I.) research concerns expert systems. Expert systems are computer programs that are able to solve complex problems at a high level of expertise (Buchanan & Shortliffe, 1984). Most are also capable of explaining why and how they came to a particular solution. They derive their capabilities from a body of knowledge about a particular domain. This knowledge comprises both declarative (factual) knowledge and procedural knowledge, i.e., knowledge describing how to solve particular problems.

Bert Bredeweg | Bob Wielinga

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

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

[3] Bob Wielinga,et al. Use of Models in the Interpretation of Verbal Data , 1987 .

[4] William J. Clancey,et al. The Epistemology of a Rule-Based Expert System - A Framework for Explanation , 1981, Artif. Intell..

[5] Ronald J. Brachman,et al. ON THE EPISTEMOLOGICAL STATUS OF SEMANTIC NETWORKS , 1979 .

[6] Ronald J. Brachman,et al. An overview of the KL-ONE Knowledge Representation System , 1985 .

[7] E. Shortliffe,et al. Readings in medical artificial intelligence: the first decade , 1984 .

[8] William J. Clancey,et al. Representing Control Knowledge as Abstract Task and Metarules. ONR Technical Report #15. , 1985 .

[9] Randall Davis,et al. Meta-Rules: Reasoning about Control , 1980, Artif. Intell..

[10] Bob J. Wielinga,et al. Models of Expertise , 1986, ECAI.