© 2006

Learning and Adaption in Multi-Agent Systems

First International Workshop, LAMAS 2005, Utrecht, The Netherlands, July 25, 2005, Revised Selected Papers

  • Karl Tuyls
  • Pieter Jan’t Hoen
  • Katja Verbeeck
  • Sandip Sen
Conference proceedings LAMAS 2005

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3898)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 3898)

Table of contents

  1. Front Matter
  2. Pieter Jan ’t Hoen, Karl Tuyls, Liviu Panait, Sean Luke, J. A. La Poutré
    Pages 1-46
  3. Mazda Ahmadi, Peter Stone
    Pages 47-70
  4. Ann Nowé, Katja Verbeeck, Maarten Peeters
    Pages 71-85
  5. Stéphane Airiau, Sandip Sen
    Pages 86-99
  6. Bikramjit Banerjee, Jing Peng
    Pages 100-114
  7. Constança Oliveira e Sousa, Luis Custódio
    Pages 139-154
  8. Austin McDonald, Sandip Sen
    Pages 155-164
  9. Kagan Tumer, Adrian Agogino
    Pages 177-191
  10. Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice Bruynooghe
    Pages 192-206
  11. Peter Vrancx, Ann Nowé, Kris Steenhaut
    Pages 207-215
  12. Back Matter

About these proceedings


This book contains selected and revised papers of the International Workshop on Lea- ing and Adaptation in Multi-Agent Systems (LAMAS 2005), held at the AAMAS 2005 Conference in Utrecht, The Netherlands, July 26. An important aspect in multi-agent systems (MASs) is that the environment evolves over time, not only due to external environmental changes but also due to agent int- actions. For this reason it is important that an agent can learn, based on experience, and adapt its knowledge to make rational decisions and act in this changing environment autonomously. Machine learning techniques for single-agent frameworks are well established. Agents operate in uncertain environments and must be able to learn and act - tonomously. This task is, however, more complex when the agent interacts with other agents that have potentially different capabilities and goals. The single-agent case is structurally different from the multi-agent case due to the added dimension of dynamic interactions between the adaptive agents. Multi-agent learning, i.e., the ability of the agents to learn how to cooperate and compete, becomes crucial in many domains. Autonomous agents and multi-agent systems (AAMAS) is an emerging multi-disciplinary area encompassing computer science, software engineering, biology, as well as cognitive and social sciences. A t- oretical framework, in which rationality of learning and interacting agents can be - derstood, is still under development in MASs, although there have been promising ?rst results.


Evolution adaptive agents agent communication agent coordination agent environments agent programming agent reasoning agents distributed artificial intelligence learning machine learning multi-agent learning systems multi-agent system reinforcement learning robot

Editors and affiliations

  • Karl Tuyls
    • 1
  • Pieter Jan’t Hoen
    • 2
  • Katja Verbeeck
    • 3
  • Sandip Sen
    • 4
  1. 1.MICC-IKATUniversiteit MaastrichtThe Netherlands
  2. 2.Center for Mathematics and Computer Science (CWI)AmsterdamThe Netherlands
  3. 3.KaHo Sint-Lieven, Information Technology GroupGentBelgium
  4. 4.Department of Mathematical and Computer ScienceUniversity of TulsaUSA

Bibliographic information

  • Book Title Learning and Adaption in Multi-Agent Systems
  • Book Subtitle First International Workshop, LAMAS 2005, Utrecht, The Netherlands, July 25, 2005, Revised Selected Papers
  • Editors Karl Tuyls
    Pieter Jan 't Hoen
    Katja Verbeeck
    Sandip Sen
  • Series Title Lecture Notes in Computer Science
  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Softcover ISBN 978-3-540-33053-0
  • eBook ISBN 978-3-540-33059-2
  • Series ISSN 0302-9743
  • Series E-ISSN 1611-3349
  • Edition Number 1
  • Number of Pages X, 217
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Artificial Intelligence
    Computer Communication Networks
  • Buy this book on publisher's site
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