Distributed artificial intelligence: impacts and implications for future knowledge-based organizations

Author

Hine, Michael J. ; Goul, M. ; Howorka, Gary V.

Author_Institution

Dept. of Inf. Syst., Virginia Commonwealth Univ., Richmond, VA, USA

Volume

3

fYear

1994

fDate

4-7 Jan. 1994

Firstpage

211

Lastpage

220

Abstract

It is often insightful in research regarding the management of information resources by organizations to reassess progress in light of new realities and nascent research fields. Such a reassessment can portray potential synergistic frameworks for matching emerging problems and opportunities to recent advancements in relevant reference disciplines. This paper presents such a reassessment and provides an innovative framework reflective of recent advancements in the field of distributed artificial intelligence (DAI). That framework clearly demonstrates how DAI advancements can catalyze research fields currently addressing knowledge-based organizations of the future.<>

Keywords

artificial intelligence; distributed processing; knowledge based systems; management information systems; technological forecasting; distributed artificial intelligence; emerging opportunities; emerging problems; future; information resource management; innovative framework; knowledge-based organizations; reference disciplines; research progress reassessment; synergistic frameworks;

fLanguage

English

Publisher

ieee

Conference_Titel

System Sciences, 1994. Proceedings of the Twenty-Seventh Hawaii International Conference on

Conference_Location

Wailea, HI, USA

Print_ISBN

0-8186-5090-7

Type

conf

DOI

10.1109/HICSS.1994.323350

Filename

323350