A focus of attention algorithm for expert systems
"This research is primarily concerned with increasing the performance of expert systems. A refined focus of attention strategy and its affect on performance are discussed. Early expert systems used a brute force approach to process the knowledge base. Each production rule in the knowledge base was evaluated each cycle. More recently, processing efficiency has been increased by focusing the attention of the inference engine on a subset of the rules by "filtering" for further testing, only rules that could possibly fire given the current content of the context base. Focus of attention as developed in this research increases performance over filtering systems by further narrowing the focus of attention of the inference engine, down to the subexpression level. Positive results are reported"--Abstract, leaf iii.
Dekock, Arlan R.
Prater, John Bruce, 1932-2002
Kluczny, Raymond Michael
M.S. in Computer Science
University of Missouri--Rolla
vii, 49 leaves
© 1984 Kevin Wayne Whiting, All rights reserved.
Thesis - Citation
Library of Congress Subject Headings
Expert systems (Computer science)
Print OCLC #
Link to Catalog Record
Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.http://laurel.lso.missouri.edu:80/record=b2693333~S5
Whiting, Kevin Wayne, "A focus of attention algorithm for expert systems" (1984). Masters Theses. 4530.
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