DID YOU KNOW? DTIC has over 3.5 million final reports on DoD funded research, development, test, and evaluation activities available to our registered users. Click
HERE to register or log in.
Accession Number:
ADA191440
Title:
Empirical Analysis and Refinement of Expert System Knowledge Bases.
Corporate Author:
RUTGERS - THE STATE UNIV NEW BRUNSWICK NJ CENTER FOR EXPERT SYSTEMS RESEARCH
Report Date:
1987-11-30
Abstract:
Knowledge base refinement is the modification of an existing expert system knowledge base with the goals of localizing specific weaknesses in a knowledge base and improving an expert systems performance. Systems that automate some aspects of knowledge base refinement can have a significant impact on the related problems of knowledge base acquisition, maintenance, verification, and learning from experience. The SEEK system was the first expert system framework to integrate large-scale performance information into all phases of knowledge base development and to provide automatic information about rule refinement. A recently developed successor system, SEEK2, significantly expands the scope of the original system in terms of generality and automated capabilities. Based on promising results using the SEEK approach, the project investigators believe that significant progress can be made in expert system techniques for knowledge acquisition, knowledge base refinement, maintenance, and verification.
Descriptive Note:
Quarterly rept.,
Pages:
0003
Contract Number:
N00014-87-K-0398
File Size:
0.20MB
