Title :
Supporting knowledge sharing in environmental scanning
Author :
Elofson, Gregg S. ; Konsynski, Benn R.
Author_Institution :
Dept. of Comput. Inf. Syst., Miami Univ., Coral Gables, FL, USA
Abstract :
An architecture and a prototype are described that provide the capability of capturing, organizing, and distributing knowledge that may be used by experts in classifying patterns of often qualitative indicators in the business environment. The establishment and application are described of a collection of semiautonomous agents, termed apprentices, that use a combination of artificial intelligence and machine learning techniques to do the work of gathering, classifying, and distributing the expertise of knowledge workers engaged in business-environment scanning
Keywords :
commerce; knowledge acquisition; knowledge representation; learning systems; office automation; OA; apprentices; artificial intelligence; business environment; environmental scanning; expertise; experts; knowledge sharing; knowledge workers; machine learning techniques; qualitative indicators; semiautonomous agents; Artificial intelligence; Autonomous agents; Business continuity; Government; Information systems; Knowledge management; Machine learning; Organizing; Performance evaluation; Prototypes;
Conference_Titel :
System Sciences, 1990., Proceedings of the Twenty-Third Annual Hawaii International Conference on
Conference_Location :
Kailua-Kona, HI
DOI :
10.1109/HICSS.1990.205267