Editor(s): Zhang, Minjie; Ito, Takayuki; Fujita, Katsuhide; Bai, Quan; Ren, Fenghui. Series: Studies in Computational Intelligence. Num Pages: 210 pages, 30 black & white illustrations, 43 colour illustrations, 100 colour tables, biography. BIC Classification: UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 14. Weight in Grams: 497. . 2016. 1st ed. 2017. hardcover. . . . .

N� de ref. del art�culo V9789811025631

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T�tulo: Multi-agent and Complex Systems (Volume 670)
Editor: Springer/Sci-Tech/Trade
Fecha de publicaci�n: 2016
Idioma: Ingl�s
ISBN 10: 9811025630
ISBN 13: 9789811025631
Encuadernaci�n: Encuadernaci�n de tapa dura
Edici�n: 1� Edici�n
Estado: New

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Sinopsis

This book provides a description of advanced multi-agent and artificial intelligence technologies for the modeling and simulation of complex systems, as well as an overview of the latest scientific efforts in this field. A complex system features a large number of interacting components, whose aggregate activities are nonlinear and self-organized. A multi-agent system is a group or society of agents which interact with others cooperatively and/or competitively in order to reach their individual or common goals. Multi-agent systems are suitable for modeling and simulation of complex systems, which is difficult to accomplish using traditional computational approaches.

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Quan BaiAuckland University of TechnologyFenghui RenUniversity of WollongongMinjie ZhangUniversity of WollongongTakayuki ItoNagoya Institute of TechnologyKatsuhide FujitaTokyo University of Agriculture and Technology

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