© 2004

Agents and Computational Autonomy

Potential, Risks, and Solutions

  • Matthias Nickles
  • Michael Rovatsos
  • Gerhard Weiss
Conference proceedings AUTONOMY 2003

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2969)

Also part of the Lecture Notes in Artificial Intelligence book sub series (volume 2969)

Table of contents

  1. Front Matter
  2. Models and Typologies

    1. Invited Contributions

      1. Eduardo Alonso, Esther Mondragón
        Pages 1-6
      2. K. Suzanne Barber, Jisun Park
        Pages 7-16
      3. Jeffrey M. Bradshaw, Paul J. Feltovich, Hyuckchul Jung, Shriniwas Kulkarni, William Taysom, Andrzej Uszok
        Pages 17-39
      4. Steve Munroe, Michael Luck
        Pages 55-67
      5. Michael Schillo, Klaus Fischer
        Pages 68-82
    2. Standard Contributions

      1. Gordon Beavers, Henry Hexmoor
        Pages 95-102
      2. Cosmin Carabelea, Olivier Boissier, Adina Florea
        Pages 103-113
      3. Mehdi Dastani, Frank Dignum, John-Jules Meyer
        Pages 114-127
  3. Design and Applications

    1. Invited Contributions

      1. Massimo Cossentino, Franco Zambonelli
        Pages 140-150
      2. Matthias Klusch
        Pages 170-186
      3. Rajiv T. Maheswaran, Milind Tambe, Pradeep Varakantham, Karen Myers
        Pages 187-194
      4. Olga Pacheco
        Pages 195-208
      5. H. Van Dyke Parunak, Sven A. Brueckner
        Pages 209-226
      6. Hans Weigand, Virginia Dignum
        Pages 227-236
    2. Standard Contributions

      1. Raymond So, Liz Sonenberg
        Pages 237-248

About these proceedings


This volume contains the postproceedings of the 1st International Workshop on Computational Autonomy – Potential, Risks, Solutions (AUTONOMY 2003), held at the 2nd International Joint Conference on Autonomous Agents and Multi-agentSystems(AAMAS2003),July14,2003,Melbourne,Australia.Apart from revised versions of the accepted workshop papers, we have included invited contributions from leading experts in the ?eld. With this, the present volume represents the ?rst comprehensive survey of the state-of-the-art of research on autonomy, capturing di?erent theories of autonomy, perspectives on autonomy in di?erent kinds of agent-based systems, and practical approaches to dealing with agent autonomy. Agent orientation refers to a software development perspective that has evolved in the past 25 years in the ?elds of computational agents and multiagent systems. The basic notion underlying this perspective is that of a computational agent, that is, an entity whose behavior deserves to be called ?exible, social, and autonomous. As an autonomous entity, an agent possesses action choice and is at least to some extent capable of deciding and acting under self-control. Through its emphasis on autonomy, agent orientation signi?cantly di?ers from traditional engineering perspectives such as structure orientation or object o- entation. These perspectives are targeted on the development of systems whose behavior is fully determined and controlled by external units (e.g., by a p- grammer at design time and/or a user at run time), and thus inherently fail to capture the notion of autonomy.


DJ agent architectures agent autonomy agent cognition agent coordination classification cognition computational autonomy intelligent agents modeling multi-agent system multi-agent systems reinforcement learning social agents software agent

Editors and affiliations

  • Matthias Nickles
    • 1
  • Michael Rovatsos
    • 2
  • Gerhard Weiss
    • 3
  1. 1.University of BathBathUK
  2. 2.School of InformaticsThe University of EdinburghEdinburghUnited Kingdom
  3. 3.Software Competence Center Hagenberg GmbHHagenbergAustria

Bibliographic information

  • Book Title Agents and Computational Autonomy
  • Book Subtitle Potential, Risks, and Solutions
  • Editors Matthias Nickles
    Michael Rovatsos
    Gerhard Weiß
  • Series Title Lecture Notes in Computer Science
  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Softcover ISBN 978-3-540-22477-8
  • eBook ISBN 978-3-540-25928-2
  • Series ISSN 0302-9743
  • Series E-ISSN 1611-3349
  • Edition Number 1
  • Number of Pages X, 276
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Artificial Intelligence
    Computer Communication Networks
    Software Engineering
  • Buy this book on publisher's site
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