Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning

5th, 6th, and 7th European Symposium, ALAMAS 2005-2007 on Adaptive and Learning Agents and Multi-Agent Systems, Revised Selected Papers

  • Editors
  • Karl Tuyls
  • Ann Nowe
  • Zahia Guessoum
  • Daniel Kudenko
Conference proceedings AAMAS 2005, ALAMAS 2007, ALAMAS 2006

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4865)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 4865)

Table of contents

  1. Front Matter
  2. Ana L. C. Bazzan, Denise de Oliveira, Franziska Klügl, Kai Nagel
    Pages 1-14
  3. Bart van den Broek, Wim Wiegerinck, Bert Kappen
    Pages 15-26
  4. Lucian Buşoniu, Damien Ernst, Bart De Schutter, Robert Babuška
    Pages 27-43
  5. Matthew Grounds, Daniel Kudenko
    Pages 60-74
  6. Matthew Grounds, Daniel Kudenko
    Pages 75-86
  7. Enda Howley, Colm O’Riordan
    Pages 87-101
  8. Michal Jakob, Jan Tožička, Michal Pěchouček
    Pages 102-116
  9. Steven de Jong, Karl Tuyls, Katja Verbeeck, Nico Roos
    Pages 117-128
  10. Alessandro Lazaric, Enrique Munoz de Cote, Fabio Dercole, Marcello Restelli
    Pages 129-144
  11. Nyree Lemmens, Steven de Jong, Karl Tuyls, Ann Nowé
    Pages 145-156
  12. Maarten Peeters, Katja Verbeeck, Ann Nowé
    Pages 169-187
  13. Steve Phelps, Kai Cai, Peter McBurney, Jinzhong Niu, Simon Parsons, Elizabeth Sklar
    Pages 188-210
  14. Arturo Servin, Daniel Kudenko
    Pages 211-223
  15. Peter Vrancx, Katja Verbeeck, Ann Nowé
    Pages 224-238
  16. Back Matter

About these proceedings


This book contains selected and revised papers of the European Symposium on Adaptive and Learning Agents and Multi-Agent Systems (ALAMAS), editions 2005, 2006 and 2007, held in Paris, Brussels and Maastricht. The goal of the ALAMAS symposia, and this associated book, is to increase awareness and interest in adaptation and learning for single agents and mul- agent systems, and encourage collaboration between machine learning experts, softwareengineeringexperts,mathematicians,biologistsandphysicists,andgive a representative overviewof current state of a?airs in this area. It is an inclusive forum where researchers can present recent work and discuss their newest ideas for a ?rst time with their peers. Thesymposiaseriesfocusesonallaspectsofadaptiveandlearningagentsand multi-agent systems, with a particular emphasis on how to modify established learning techniques and/or create new learning paradigms to address the many challenges presented by complex real-world problems. These symposia were a great success and provided a forum for the pres- tation of new ideas and results bearing on the conception of adaptation and learning for single agents and multi-agent systems. Over these three editions we received 51 submissions, of which 17 were carefully selected, including one invited paper of this year’s invited speaker Simon Parsons. This is a very c- petitive acceptance rate of approximately 31%, which, together with two review cycles, has led to a high-quality LNAI volume. We hope that our readers will be inspired by the papers included in this volume.


Fuzzy adaption adaptive agents adaptive learning adaptive robotics adaptive systems agent cooperation agent learning agents auction markets automata learning machine learning multi-agent system reinforcement learning

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-540-77947-6
  • Online ISBN 978-3-540-77949-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site