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Knowledge engineering software [electronic resource] : A demonstration of a high end tool

Published
Los Alamos, N.M. : Los Alamos National Laboratory, 1987.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
Physical Description
Pages: 25 : digital, PDF file
Additional Creators
Los Alamos National Laboratory and United States. Department of Energy. Office of Scientific and Technical Information
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Summary
Many investigators wanting to apply knowledge-based systems (KBS) as consultants for cancer diagnosis have turned to tools running on personal computers. While some of these tools serve well for small tasks, they lack the power available with the high end KBS tools such as KEE (Knowledge Engineering Environment) and ART (Automated Reasoning Tool). These tools were originally developed on Lisp machines and have the full functionality of the Lisp language as well as many additional features. They provide a rich and highly productive environment for the software developer. To illustrate the capability of one of these high end tools we have converted a table showing the classification of benign soft tissue tumors into a KEE knowledge base. We have used the tools available in Kee to identify the tumor type for a hypothetical patient. 10 figs.
Report Numbers
E 1.99:la-ur-87-3924
E 1.99: conf-880333-1
conf-880333-1
la-ur-87-3924
Subject(s)
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Note
Published through SciTech Connect.
01/01/1987.
"la-ur-87-3924"
" conf-880333-1"
"DE88003159"
Analytical and quantitative cytology, Chicago, IL, USA, 14 Mar 1988.
Salzman, G.C.; Marinuzzi, J.G.; Krall, R.B.
Funding Information
W-7405-ENG-36
View MARC record | catkey: 13812865