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Innovations in Multi-Agent Systems and Application – 1

  • Book
  • © 2010

Overview

Editors:
  1. Dipti Srinivasan

    1. Department of Electrical & Computer Engineering, National University of Singapore, Singapore

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    You can also search for this editor in PubMed   Google Scholar

  2. Lakhmi C. Jain

    1. School of Electrical and Information Engineering, University of South Australia, South Australia, Australia

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    You can also search for this editor in PubMed   Google Scholar

  • Latest research on the applications of multiagents in engineering systems
  • State-of-the-Art book
  • Written by leading experts in thus field

Part of the book series: Studies in Computational Intelligence (SCI, volume 310)

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Table of contents (10 chapters)

  1. Front Matter

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  2. An Introduction to Multi-Agent Systems

    • P. G. Balaji, D. Srinivasan
    Pages 1-27

  3. Hybrid Multi-Agent Systems

    • D. Srinivasan, M. C. Choy
    Pages 29-42

  4. A Framework for Coordinated Control of Multi-Agent Systems

    • Howard Li, Fakhri Karray, Otman Basir
    Pages 43-67

  5. A Use of Multi-Agent Intelligent Simulator to Measure the Dynamics of US Wholesale Power Trade: A Case Study of the California Electricity Crisis

    • Toshiyuki Sueyoshi
    Pages 69-111

  6. Argument Mining from RADB and Its Usage in Arguing Agents and Intelligent Tutoring System

    • Safia Abbas, Hajime Sawamura
    Pages 113-147

  7. Grouping and Anti-predator Behaviors for Multi-agent Systems Based on Reinforcement Learning Scheme

    • Koichiro Morihiro, Haruhiko Nishimura, Teijiro Isokawa, Nobuyuki Matsui
    Pages 149-182

  8. Multi-agent Reinforcement Learning: An Overview

    • Lucian Buşoniu, Robert Babuška, Bart De Schutter
    Pages 183-221

  9. Multi-Agent Technology for Fault Tolerant and Flexible Control

    • Pavel Tichý, Raymond J. Staron
    Pages 223-246

  10. Timing Agent Interactions for Efficient Agent-Based Simulation of Socio-Technical Systems

    • Seung Man Lee, Amy R. Pritchett
    Pages 247-276

  11. Group-Oriented Service Provisioning in Next-Generation Network

    • Vedran Podobnik, Vedran Galetic, Krunoslav Trzec, Gordan Jezic
    Pages 277-298

  12. Back Matter

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Keywords

About this book

In today’s world, the increasing requirement for emulating the behavior of real-world applications for achieving effective management and control has necessitated the usage of advanced computational techniques. Computational intelligence-based techniques that combine a variety of problem solvers are becoming increasingly pervasive. The ability of these methods to adapt to the dynamically changing environment and learn in an online manner has increased their usefulness in simulating intelligent behaviors as observed in humans. These intelligent systems are able to handle the stochastic and uncertain nature of the real-world problems. Application domains requiring interaction of people or organizations with different, even possibly conflicting goals and proprietary information handling are growing exponentially. To efficiently handle these types of complex interactions, distributed problem solving systems like multiagent systems have become a necessity. The rapid advancements in network communication technologies have provided the platform for successful implementation of such intelligent agent-based problem solvers. An agent can be viewed as a self-contained, concurrently executing thread of control that encapsulates some state and communicates with its environment, and possibly other agents via message passing. Agent-based systems offer advantages when independently developed components must interoperate in a heterogenous environment. Such agent-based systems are increasingly being applied in a wide range of areas including telecommunications, Business process modeling, computer games, distributed system control and robot systems.

Editors and Affiliations

  • Department of Electrical & Computer Engineering, National University of Singapore, Singapore

    Dipti Srinivasan

  • School of Electrical and Information Engineering, University of South Australia, South Australia, Australia

    Lakhmi C. Jain

Bibliographic Information

  • Book Title: Innovations in Multi-Agent Systems and Application – 1

  • Editors: Dipti Srinivasan, Lakhmi C. Jain

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-642-14435-6

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2010

  • Hardcover ISBN: 978-3-642-14434-9Published: 11 August 2010

  • Softcover ISBN: 978-3-642-26435-1Published: 13 October 2012

  • eBook ISBN: 978-3-642-14435-6Published: 17 July 2010

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: X, 302

  • Number of Illustrations: 103 b/w illustrations, 23 illustrations in colour

  • Topics: Mathematical and Computational Engineering, Artificial Intelligence

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