Multi-agent and Complex Systems: 670 - Brossura

 
9789811096525: Multi-agent and Complex Systems: 670

Sinossi

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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Informazioni sull?autore

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

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Altre edizioni note dello stesso titolo

9789811025631: Multi-agent and Complex Systems: 670

Edizione in evidenza

ISBN 10:  9811025630 ISBN 13:  9789811025631
Casa editrice: Springer Nature, 2016
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