Adaptive and Learning Agents

Second Workshop, ALA 2009, Held as Part of the AAMAS 2009 Conference in Budapest, Hungary, May 12, 2009. Revised Selected Papers

  • Matthew E. Taylor
  • Karl Tuyls
Conference proceedings ALA 2009

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5924)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5924)

Table of contents

  1. Front Matter
  2. Marc Ponsen, Matthew E. Taylor, Karl Tuyls
    Pages 1-32
  3. Enda Howley, Jim Duggan
    Pages 33-48
  4. Mihail Mihaylov, Karl Tuyls, Ann Nowé
    Pages 60-73
  5. John Porter, Kuheli Chakraborty, Sandip Sen
    Pages 107-122
  6. Back Matter

About these proceedings


ThisbookpresentsselectedandrevisedpapersoftheSecondWorkshoponAd- tive and Learning Agents 2009 (ALA-09), held at the AAMAS 2009 conference in Budapest, Hungary, May 12. The goalof ALA is to provide an interdisciplinaryforum for scientists from a variety of ?elds such as computer science, biology, game theory and economics. This year’s edition of ALA was the second after the merger of the former wo- shops ALAMAS and ALAg. In 2008 this joint workshop was organized for the ?rst time under the ?ag of both events. ALAMAS was a yearly returning Eu- pean workshop on adaptive and learning agents and multi-agent systems (held eight times). ALAg was the international workshop on adaptive and learning agents, which was usually held at AAMAS. To increase the strength, visibility and quality of the workshop it was decided to merge both workshops under the ?ag of ALA and to set up a Steering Committee as an organizational backbone. This book contains six papers presented during the workshop, which were carefully selected after an additional review round in the summer of 2009. We therefore wish to explicitly thank the members of the Program Committee for the quality and sincerity of their e?orts and service. Furthermore we would like to thank all the members of the senior Steering Committee for making this workshop possible and supporting it with sound advice. We also thank the AAMAS conference for providing us a platform for holding this event. Finally we also wish to thank all authors who responded to our call-for-papers with interesting contributions.


Evolution adaptive agents agent systems agents distributed computing game theory learning learning agents modeling reinforcement learning software engineering theory

Editors and affiliations

  • Matthew E. Taylor
    • 1
  • Karl Tuyls
    • 2
  1. 1.The University of Southern CaliforniaLos AngelesUSA
  2. 2.Maastricht UniversityMaastrichtThe Netherlands

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-642-11813-5
  • Online ISBN 978-3-642-11814-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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