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