DocumentCode
1254083
Title
Models versus rules, deep versus compiled content versus form: some distinctions in knowledge systems research
Author
Chandrasekaran, B.
Author_Institution
Dept. of Comput. & Inf. Sci., Ohio State Univ., Columbus, OH, USA
Volume
6
Issue
2
fYear
1991
fDate
4/1/1991 12:00:00 AM
Firstpage
75
Lastpage
79
Abstract
Four distinctions that are made in the literature on knowledge system design are examined. They are: model-based versus rule-based problem solving, models versus experiential or associational knowledge, deep versus compiled knowledge, and content versus form. The focus is on the diagnostic task, since these distinctions have most often been debated in the context of this problem, but the issues are relevant to knowledge systems in general.<>
Keywords
knowledge based systems; compiled knowledge; deep knowledge; diagnostic task; knowledge systems; model based systems; rule-based problem solving; Computational and artificial intelligence; Computational modeling; Computer architecture; Computer languages; Humans; Intelligent structures; Knowledge based systems; Problem-solving; Valves; Vocabulary;
fLanguage
English
Journal_Title
IEEE Expert
Publisher
ieee
ISSN
0885-9000
Type
jour
DOI
10.1109/64.79713
Filename
79713
Link To Document