DocumentCode
1394584
Title
Explanations in knowledge systems: the roles of the task structure and domain functional models
Author
Tanner, Michael C. ; Keuneke, Anne M.
Author_Institution
Dept. of Comput. Sci., George Mason Univ., Fairfax, VA, USA
Volume
6
Issue
3
fYear
1991
fDate
6/1/1991 12:00:00 AM
Firstpage
50
Lastpage
57
Abstract
An investigation of explanation (the process by which an expert system explains how it arrived at a particular solution) in the domains of logistics planning and diagnosis is discussed. The research was performed as part of the Strategic Computing Initiative of the US Dept. of Defense´s Defence Advanced Research Projects Agency (DARPA). Types and aspects of explanation are examined. The generic task approach to generating explanations of problem-solving strategies and steps and its implementation in the Mission Planning Assistant (MPA), which plans a particular kind of US Air Force mission are described. MPA uses a generic task tool called the design specialists and plans language. Explanation based on logical task structure is then considered. The use of causal models to confirm the plausibility of diagnostic hypothesis is discussed.<>
Keywords
knowledge based systems; knowledge representation; DARPA; Mission Planning Assistant; Strategic Computing Initiative; design specialists and plans language; diagnosis; diagnostic hypothesis; domain functional models; expert system; generic task approach; generic task tool; logistics planning; plausibility; problem-solving strategies; task structure; Artificial intelligence; Buildings; Expert systems; Filters; Knowledge based systems; Laboratories; Logistics; Modular construction; Problem-solving; Vocabulary;
fLanguage
English
Journal_Title
IEEE Expert
Publisher
ieee
ISSN
0885-9000
Type
jour
DOI
10.1109/64.87685
Filename
87685
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