Modeling decisions for artificial intelligence : 11th International Conference, MDAI 2014, Tokyo, Japan, October 29-31, 2014. Proceedings /

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Bibliographic Details
Meeting name:	MDAI (Conference) (11th : 2014 : Tokyo, Japan)
Imprint:	Cham : Springer, 2014.
Description:	1 online resource (xviii, 241 pages) : illustrations.
Language:	English
Series:	Lecture notes in artificial intelligence, 0302-9743 ; 8825 LNCS sublibrary. SL 7, Artificial intelligence Lecture notes in computer science. Lecture notes in artificial intelligence ; 8825. LNCS sublibrary. SL 7, Artificial intelligence.
Subject:	Artificial intelligence -- Mathematical models -- Congresses. Decision making -- Mathematical models -- Congresses. Computer simulation -- Congresses. Artificial intelligence -- Mathematical models. Computer simulation. Decision making -- Mathematical models. Conference papers and proceedings.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11089462

Hidden Bibliographic Details
Varying Form of Title:	MDAI 2014
Other authors / contributors:	Torra, Vicenç, editor. Narukawa, Yasuo, editor. Endo, Yasunori, editor.
ISBN:	9783319120546 3319120549 9783319120539 3319120530 9783319120539
Notes:	International conference proceedings. Includes author index. Online resource; title from PDF title page (SpringerLink, viewed November 12, 2014).
Summary:	This book constitutes the proceedings of the 11th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2014, held in Tokyo, Japan, in October 2014. The 19 revised full papers presented together with an invited paper were carefully reviewed and selected from 38 submissions. They deal with the theory and tools for modeling decisions, as well as applications that encompass decision making processes and information fusion techniques and are organized in topical sections on aggregation operators and decision making, optimization, clustering and similarity, and data mining and data privacy.
Other form:	Printed edition: 9783319120539
Standard no.:	10.1007/978-3-319-12054-6

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