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

Volume

iv

fYear

1990

fDate

2-5 Jan 1990

Firstpage

281

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;

fLanguage

English

Publisher

ieee

Conference_Titel

System Sciences, 1990., Proceedings of the Twenty-Third Annual Hawaii International Conference on

Conference_Location

Kailua-Kona, HI

Type

conf

DOI

10.1109/HICSS.1990.205267

Filename

205267