Emergent Intelligence of Networked Agents

  • Akira Namatame
  • Satoshi Kurihara
  • Hideyuki Nakashima

Part of the Studies in Computational Intelligence book series (SCI, volume 56)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Joris Deguet, Laurent Magnin, Yves Demazeau
    Pages 13-21
  3. Kensuke Fukuda, Toshio Hirotsu, Satoshi Kurihara, Osamu Akashi, Shin-ya Sato, Toshiharu Sugawara
    Pages 23-37
  4. Zhixing Huang, Yan Tang, Yuhui Qiu
    Pages 39-51
  5. Takahiro Majima, Mitujiro Katuhara, Keiki Takadama
    Pages 99-113
  6. Yusuke Matsumura, Hidenori Kawamura, Koichi Kurumatani, Azuma Ohuchi
    Pages 115-128
  7. Syuji Miyazaki
    Pages 129-137
  8. J. C. Nacher, M. Hayashida, T. Akutsu
    Pages 147-158
  9. Akira Namatame
    Pages 159-176
  10. Hiroshi Ouchiyama, Runhe Huang, Jianhua Ma
    Pages 203-215
  11. Toshiharu Sugawara, Kensuke Fukuda, Toshio Hirotsu, Shin-ya Sato, Satoshi Kurihara
    Pages 217-230
  12. Toriumi Fujio, Ishii Kenichiro
    Pages 231-243
  13. Frank E. Walter, Stefano Battiston, Frank Schweitzer
    Pages 245-258

About this book

Introduction

The study of intelligence emerged from interactions among agents has been popular. In this study it is recognized that a network structure of the agents plays an important role. The current state-of-the art in agent-based modeling tends to be a mass of agents that have a series of states that they can express as a result of the network structure in which they are embedded. Agent interactions of all kinds are usually structured with complex networks. The idea of combining multi-agent systems and complex networks is also particularly rich and fresh to foster the research on the study of very large-scale multi-agent systems. Yet our tools to model, understand, and predict dynamic agent interactions and their behavior on complex networks have lagged far behind. Even recent progress in network modeling has not yet offered us any capability to model dynamic processes among agents who interact at all scales on complex networks.

This book is based on communications given at the Workshop on Emergent Intelligence of Networked Agents (WEIN 06) at the Fifth International Joint Conference on Autonomous Agents and Multi-agent Systems (AAMAS 2006), which was held at Future University, Hakodate, Japan, from May 8 to 12, 2006. WEIN 06 was especially intended to increase the awareness of researchers in these two fields sharing the common view on combining agent-based modeling and complex networks in order to develop insight and foster predictive methodologies in studying emergent intelligence on of networked agents. From the broad spectrum of activities, leading experts presented important paper and numerous practical problems appear throughout this book. The papers contained in this book are concerned with emergence of intelligent behaviors over networked agents and fostering the formation of an active multi-disciplinary community on multi-agent systems and complex networks.

Keywords

Emergent Intelligence Evolution Navigation Networked Agents Simulation agents calculus collective intelligence intelligence learning model multi-agent system optimization

Editors and affiliations

  • Akira Namatame
    • 1
  • Satoshi Kurihara
    • 2
  • Hideyuki Nakashima
    • 3
  1. 1.Department of Computer ScienceNational Defense AcademyYokosukaJapan
  2. 2.Graduate School of Information Science and TechnologyOsaka UniversityOsakaJapan
  3. 3.Future University-HakodateHokkaidoJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-71075-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-71073-8
  • Online ISBN 978-3-540-71075-2
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book
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