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Multi-agent and Complex Systems

  • Conference proceedings
  • © 2017

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Overview

  • Will interest both AI and system modeling researchers
  • Targets the most recent research outputs in smart simulation and modeling
  • Contributes to a better understanding of intelligent modeling for complex systems
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 670)

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About this book

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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Keywords

Table of contents (14 papers)

Editors and Affiliations

  • Auckland University of Technology, Auckland, New Zealand

    Quan Bai

  • University of Wollongong, Wollongong, Australia

    Fenghui Ren, Minjie Zhang

  • Tokyo University of Agriculture and Technology, Koganei, Japan

    Katsuhide Fujita

  • Nagoya Institute of Technology, Nagoya, Japan

    Takayuki Ito

About the editors

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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