Applied AI in complex systems: examples and lessons learned

Da Ruan; Nadia Messaoudi

Applied AI in complex systems: examples and lessons learned

Research output › peer-review

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.

Original language	English
Title of host publication	Proceedings of JCIS 2005
Place of Publication	Salt Lake City, Utah
Pages	10-14
State	Published - Jul 2005
Event	The 8th Joint Conference on Information Sciences - Salt Lake City, UT Duration: 21 Jul 2005 → 26 Jul 2005

Conference

Conference	The 8th Joint Conference on Information Sciences
Country/Territory	United States
City	Salt Lake City, UT
Period	2005-07-21 → 2005-07-26

Cite this

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title = "Applied AI in complex systems: examples and lessons learned",

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.",

keywords = "Applied AI, soft computing, nuclear reactors, information management, uncertainty",

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AB - 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.

KW - Applied AI

KW - soft computing

KW - nuclear reactors

KW - information management

KW - uncertainty

UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/ezp_26953

UR - http://knowledgecentre.sckcen.be/so2/bibref/2593

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Y2 - 21 July 2005 through 26 July 2005

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