DocumentCode :
2019413
Title :
Application of Disciple to decision making in complex and constrained environments
Author :
Bowman, Michael ; Tecuci, Gheorghe ; Ceruti, Marion G.
Author_Institution :
Dept. of Comput. Sci., George Mason Univ., Fairfax, VA, USA
Volume :
5
fYear :
2001
fDate :
2001
Firstpage :
2932
Abstract :
This paper describes Disciple, an Artificial Intelligence based decision aid which subject-matter experts can train and use when making decisions under stressful, complex, and constrained conditions. The tool was developed and used under the Defense Advanced Research Projects Agency´s High Performance Knowledge Base and Rapid Knowledge Formation programs. Some domains in which the tool would be applicable are described, with particular emphasis on military battle planning. The paper concludes with a discussion of future trends in decision-support application tools
Keywords :
artificial intelligence; decision support systems; knowledge acquisition; military computing; Disciple; artificial intelligence; command and control; decision aid; decision-support system; knowledge-acquisition; military battle planning; Application software; Artificial intelligence; Command and control systems; Computer science; Decision making; Laboratories; Learning; Manufacturing; Ontologies; Problem-solving;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 2001 IEEE International Conference on
Conference_Location :
Tucson, AZ
ISSN :
1062-922X
Print_ISBN :
0-7803-7087-2
Type :
conf
DOI :
10.1109/ICSMC.2001.971956
Filename :
971956
Link To Document :
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