Applied AI in complex systems: examples and lessons learned

    Research outputpeer-review


    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.
    Original languageEnglish
    Title of host publicationProceedings of JCIS 2005
    Place of PublicationSalt Lake City, Utah
    StatePublished - Jul 2005
    EventThe 8th Joint Conference on Information Sciences - Salt Lake City, UT
    Duration: 21 Jul 200526 Jul 2005


    ConferenceThe 8th Joint Conference on Information Sciences
    Country/TerritoryUnited States
    CitySalt Lake City, UT

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