DocumentCode :
2071621
Title :
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
Link To Document :
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