Applied AI in complex systems: examples and lessons learned

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Applied AI in complex systems: examples and lessons learned. / Ruan, Da; Messaoudi, Nadia (Peer reviewer).

Proceedings of JCIS 2005. Salt Lake City, Utah, 2005. p. 10-14.

Research output: Contribution to report/book/conference proceedingsIn-proceedings paperpeer-review

Harvard

Ruan, D & Messaoudi, N 2005, Applied AI in complex systems: examples and lessons learned. in Proceedings of JCIS 2005. Salt Lake City, Utah, pp. 10-14, The 8th Joint Conference on Information Sciences, Salt Lake City, UT, United States, 2005-07-21.

APA

Vancouver

Ruan D, Messaoudi N. Applied AI in complex systems: examples and lessons learned. In Proceedings of JCIS 2005. Salt Lake City, Utah. 2005. p. 10-14

Author

Ruan, Da ; Messaoudi, Nadia. / Applied AI in complex systems: examples and lessons learned. Proceedings of JCIS 2005. Salt Lake City, Utah, 2005. pp. 10-14

Bibtex - Download

@inproceedings{45fd86a23b314be698e1e5dc0d48dff8,
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",
author = "Da Ruan and Nadia Messaoudi",
note = "Score = 3; The 8th Joint Conference on Information Sciences ; Conference date: 21-07-2005 Through 26-07-2005",
year = "2005",
month = jul,
language = "English",
pages = "10--14",
booktitle = "Proceedings of JCIS 2005",

}

RIS - Download

TY - GEN

T1 - Applied AI in complex systems: examples and lessons learned

AU - Ruan, Da

A2 - Messaoudi, Nadia

N1 - Score = 3

PY - 2005/7

Y1 - 2005/7

N2 - 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.

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

M3 - In-proceedings paper

SP - 10

EP - 14

BT - Proceedings of JCIS 2005

CY - Salt Lake City, Utah

T2 - The 8th Joint Conference on Information Sciences

Y2 - 21 July 2005 through 26 July 2005

ER -

ID: 141911