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. . . . .

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Bibliographic Details

Title: Multi-agent and Complex Systems (Volume 670)
Publisher: Springer/Sci-Tech/Trade
Publication Date: 2016
Language: English
ISBN 10: 9811025630
ISBN 13: 9789811025631
Binding: Hardcover
Edition: 1st Edition
Condition: New

About this title

Synopsis

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.

About the Author

Quan Bai

Auckland University of Technology

Fenghui Ren

University of Wollongong

Minjie Zhang

University of Wollongong

Takayuki Ito

Nagoya Institute of Technology

Katsuhide Fujita

Tokyo University of Agriculture and Technology

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