Accession Number : ADA307590

Title :   Generic-Role Limited Shells: Explicit Control Knowledge for Learning and Tutoring.

Descriptive Note : Final rept. 30 Sep 92-29 Sep 95,

Corporate Author : ILLINOIS UNIV AT URBANA BOARD OF TRUSTEES

Personal Author(s) : Wilkins, David C.

PDF Url : ADA307590

Report Date : 27 FEB 1996

Pagination or Media Count : 10

Abstract : The focus of our AFOSR-sponsored research is knowledge acquisition and machine learning methods for second-generation expert systems that solve analysis type problems, such as data interpretation, monitoring, diagnosis and troubleshooting. In particular, we focus on improvements in the design of expert shells that allow these shells to be used as critiquing expert systems in domains that involve uncertain and incomplete information. Critiquing abilities play a major role in systems for apprenticeship learning and tutoring. This report overviews the publications from this grant, which are in five areas: (1) predicting learning speed by combining general regression analysis and VC-dimension analysis; (2) improvements in refining and inducing probabilistic representations; (3) a new problem-solving method for advanced expert shells called recursive heuristic classification; (4) apprenticeship learning methods for refining knowledge based systems; and (5) papers in the area of combining knowledge acquisition and machine learning techniques.

Descriptors :   *LEARNING MACHINES, *KNOWLEDGE BASED SYSTEMS, UNCERTAINTY, OPTIMIZATION, REASONING, PROBABILITY, PROBLEM SOLVING, REGRESSION ANALYSIS, DATA ACQUISITION, HEURISTIC METHODS, RESEARCH MANAGEMENT, TROUBLESHOOTING.

Subject Categories : Cybernetics

Distribution Statement : APPROVED FOR PUBLIC RELEASE