DocumentCode
2302534
Title
Knowledge acquisition techniques for a military planning system
Author
desJardins, M.
Author_Institution
SRI Int., Menlo Park, CA
fYear
1994
fDate
6-9 Nov 1994
Firstpage
454
Lastpage
460
Abstract
In order to build realistic AI planning systems, it is necessary to develop sophisticated tools for knowledge acquisition. This paper describes two knowledge acquisition tools for a crisis action planning system. The first is a graphical operator editor that enables users to develop new planning operators and revise existing operators. The second is an inductive learning system, based on the PAGODA learning model, that learns from simulator feedback and from choices made by the user during planning. This paper describes the work done so far, and proposed for the future, on these tools
Keywords
feedback; knowledge acquisition; learning by example; military computing; PAGODA learning model; crisis action planning system; graphical operator editor; inductive learning system; knowledge acquisition techniques; military planning system; simulator feedback; Artificial intelligence; Computer errors; Debugging; Feedback; Knowledge acquisition; Knowledge engineering; Process planning; Prototypes; Technology planning; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 1994. Proceedings., Sixth International Conference on
Conference_Location
New Orleans, LA
Print_ISBN
0-8186-6785-0
Type
conf
DOI
10.1109/TAI.1994.346457
Filename
346457
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