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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationProceedings of the Hawaii International Conference on System Sciences
PublisherPubl by IEEE
Pages211-220
Number of pages10
ISBN (Print)0818650702, 9780818650703
DOIs
StatePublished - 1994
EventProceedings of the 27th Hawaii International Conference on System Sciences (HICSS-27). Part 4 (of 5) - Wailea, HI, USA
Duration: Jan 4 1994Jan 7 1994

Publication series

NameProceedings of the Hawaii International Conference on System Sciences
Volume3
ISSN (Print)1060-3425

Other

OtherProceedings of the 27th Hawaii International Conference on System Sciences (HICSS-27). Part 4 (of 5)
CityWailea, HI, USA
Period1/4/941/7/94

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Hine, M. J., Goul, M., & Howorka, G. V. (1994). Distributed artificial intelligence: Impacts and implications for future knowledge-based organizations. In Proceedings of the Hawaii International Conference on System Sciences (pp. 211-220). (Proceedings of the Hawaii International Conference on System Sciences; Vol. 3). Publ by IEEE. https://doi.org/10.1109/hicss.1994.323350