Distributed artificial intelligence for multi-agent problem solving and group learning

Michael Jeng-Ping Shaw, B. Harrow, S. Herman

Research output: Contribution to journalConference article

Abstract

The advances in information technology have made computer networks ubiquitous. The increasing uses of distributed processing and electronic meeting systems that involve multiple users necessitate the development of some new principles of information system design that consider the distributed, coordinated nature of group problem solving. This paper describes a framework for designing group problem-solving systems based on distributed artificial intelligence. Among the design issues, we find the coordination mechanisms and the learning schemes used to be of particular importance. An implementation example of a network of expert systems is used to illustrate the distributed artificial intelligence approach.

Original languageEnglish (US)
Article number184035
Pages (from-to)13-26
Number of pages14
JournalProceedings of the Annual Hawaii International Conference on System Sciences
Volume4
DOIs
StatePublished - Jan 1 1991
Event24th Annual Hawaii International Conference on System Sciences, HICSS 1991 - Kauai, United States
Duration: Jan 8 1991Jan 11 1991

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Artificial intelligence
Computer networks
Expert systems
Information technology
Information systems
Systems analysis
Processing

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Distributed artificial intelligence for multi-agent problem solving and group learning. / Shaw, Michael Jeng-Ping; Harrow, B.; Herman, S.

In: Proceedings of the Annual Hawaii International Conference on System Sciences, Vol. 4, 184035, 01.01.1991, p. 13-26.

Research output: Contribution to journalConference article

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