© 2005

Design of Intelligent Multi-Agent Systems

Human-Centredness, Architectures, Learning and Adaptation

  • The latest trends in design and evolution of agent technology


Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Rajiv Khosla, Qiubang Li, Chris Lai
    Pages 1-29
  3. Sasu Tarkoma, Mikko Laukkanen, Kimmo Raatikainen
    Pages 31-62
  4. Alexander Smirnov, Mikhail Pashkin, Nikolai Chilov, Tatiana Levashova
    Pages 63-101
  5. Manuel Kolp, T. Tung Do, Stéphane Faulkner, T. T. Hang Hoang
    Pages 103-132
  6. F. Bergenti, A. Poggi, G. Rimassa, P. Turci, M. Tomaiuolo
    Pages 191-214
  7. N. D. Monekosso, P. Remagnino
    Pages 215-238
  8. A. Di Stefano, G. Pappalardo, C. Santoro, E. Tramontana
    Pages 239-278
  9. Eugénio Oliveira, Luís Nunes
    Pages 279-313
  10. Ladislau Bölöni, Dan Cristian Marinescu
    Pages 315-353
  11. Adam Szarowicz, Marek Mittmann, Jaroslaw Francik
    Pages 355-386

About this book


The ongoing transition of Intelligent Systems Research and in particular the agent based research into the real world has resulted in the emergence of new phenomena distinct from the traditional logic-centered approach. This books focuses on those new trends in design and evolution of the agent technology such as humanization, architectures and learning of agents. "Design of Intelligent Multi-Agent Systems" presents the application of soft computing agents to complex real world problems in distributed environments, humanization of the agents and the optimization of their performance.


E-Commerce Intelligent Systems Mobile Agents Soft Computing Agents Software Agents Multi-Agent Systems Transit Trend Ubiquituous Computing agent technology architecture learning logistics multi-agent system optimization software agent

Authors and affiliations

  1. 1.Knowledge-Based Intelligent, Engineering Systems Centre, School of Electrical and Information EngineeringUniversity of South AustraliaAdelaideAustralia
  2. 2.Business Systems and Knowledge, Modelling Laboratory, School of BusinessLa Trobe UniversityMelbourneAustralia

Bibliographic information

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