Applied AI in complex systems: examples and lessons learned

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Abstract

An overview on applied AI techniques in control and decision making for complex systems will be given mainly based on the 10 years progress of the FLINS forum (Fuzzy Logic and Intelligent Technology in Nuclear Science). After an outline of application areas of applied AI over the last four decades, the FLINS forum will be briefly introduced. Three concrete examples on nuclear reactor control, safeguards information management, and cost estimation under uncertainty for a large engineering project will be illustrated for the potential use of applied AI in complex systems. Recommendations and future research directions on applied AI in complex systems will be suggested from a practical point of view.

Details

Original languageEnglish
Title of host publicationProceedings of JCIS 2005
Place of PublicationSalt Lake City, Utah
Pages10-14
Publication statusPublished - Jul 2005
EventThe 8th Joint Conference on Information Sciences - Salt Lake City, UT, United States
Duration: 21 Jul 200526 Jul 2005

Conference

ConferenceThe 8th Joint Conference on Information Sciences
CountryUnited States
CitySalt Lake City, UT
Period2005-07-212005-07-26

Keywords

  • Applied AI, soft computing, nuclear reactors, information management, uncertainty

ID: 141911