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An Application Science for Multi-Agent Systems

  • Book
  • © 2004

Overview

Editors:
  1. Thomas A. Wagner

    1. Honeywell Laboratories, USA

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  • This volume is an excellent reference for anyone in developing multi-agent systems.

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-vi
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  2. An Application Science for Multi-Agent Systems

    • Tom Wagner
    Pages 1-5

  3. Coordination Challenges for Autonomous Spacecraft

    • Bradley J. Clement, Anthony C. Barrett
    Pages 7-26

  4. A Framework for Evaluation of Multi-Agent System Approaches to Logistics Network Management

    • Paul Davidsson, Fredrik Wernstedt
    Pages 27-39

  5. Centralized VS. Decentralized Coordination: Two Application Case Studies

    • Tom Wagner, John Phelps, Valerie Guralnik
    Pages 41-75

  6. A Complex Systems Perspective on Collaborative Design

    • Mark Klein, Peyman Faratin, Hiroki Sayama, Yaneer Bar-Yam
    Pages 77-93

  7. Multi-Agent System Interaction Protocols in a Dynamically Changing Environment

    • Martin Purvis, Stephen Cranefield, Mariusz Nowostawski, Maryam Purvis
    Pages 95-111

  8. Challenges to Scaling-Up Agent Coordination Strategies

    • Edmund H. Durfee
    Pages 113-132

  9. Roles in Mas

    • Ioannis Partsakoulakis, George Vouros
    Pages 133-154

  10. An Evolutionary Framework for Large-Scale Experimentation in Multi-Agent Systems

    • Alex Babanov, Wolfgang Ketter, Maria Gini
    Pages 155-173

  11. Application Characteristics Motivating Adaptive Organizational Capabilities Within Multi-Agent Systems

    • K. Suzanne Barber, Matthew T. MacMahon
    Pages 175-198

  12. Applying Coordination Mechanisms for Dependency Relationships Under Various Environments

    • Wei Chen, Keith Decker
    Pages 199-220

  13. Performance Models for Large Scale Multi-Agent System: A Distributed Pomdp-Based Approach

    • Hyuckchul Jung, Milind Tambe
    Pages 221-243

  14. Back Matter

    Pages 245-251
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Keywords

About this book

An Application Science For Multi-Agent Systems addresses the complexity of choosing which multi-agent control technologies are appropriate for a given problem domain or a given application. Without such knowledge, when faced with a new application domain, agent developers must rely on past experience and intuition to determine whether a multi-agent system is the right approach, and if so, how to structure the agents, how to decompose the problem, and how to coordinate the activities of the agents, and so forth. This unique collection of contributions, written by leading international researchers in the agent community, provides valuable insight into the issues of deciding which technique to apply and when it is appropriate to use them. The contributions also discuss potential trade-offs or caveats involved with each decision.

An Application Science For Multi-Agent Systems is an excellent reference for anyone involved in developing multi-agent systems.

Editors and Affiliations

  • Honeywell Laboratories, USA

    Thomas A. Wagner

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