Title :
Knowledge acquisition techniques for a military planning system
Author_Institution :
SRI Int., Menlo Park, CA
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;
Conference_Titel :
Tools with Artificial Intelligence, 1994. Proceedings., Sixth International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-8186-6785-0
DOI :
10.1109/TAI.1994.346457
