Lecture Notes in Artificial Intelligence

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

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: Tuyls, K., Nowe, A., Guessoum, Z., Kudenko, D. (Eds.)

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About this book

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.

Table of contents (17 chapters)

Table of contents (17 chapters)
  • To Adapt or Not to Adapt – Consequences of Adapting Driver and Traffic Light Agents

    Pages 1-14

    Bazzan, Ana L. C. (et al.)

  • Optimal Control in Large Stochastic Multi-agent Systems

    Pages 15-26

    Broek, Bart (et al.)

  • Continuous-State Reinforcement Learning with Fuzzy Approximation

    Pages 27-43

    Buşoniu, Lucian (et al.)

  • Using Evolutionary Game-Theory to Analyse the Performance of Trading Strategies in a Continuous Double Auction Market

    Pages 44-59

    Cai, Kai (et al.)

  • Parallel Reinforcement Learning with Linear Function Approximation

    Pages 60-74

    Grounds, Matthew (et al.)

Buy this book

eBook 59,49 €
price for Spain (gross)
  • ISBN 978-3-540-77949-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 72,79 €
price for Spain (gross)
  • ISBN 978-3-540-77947-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning
Book Subtitle
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
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
4865
Copyright
2008
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-77949-0
DOI
10.1007/978-3-540-77949-0
Softcover ISBN
978-3-540-77947-6
Edition Number
1
Number of Pages
VIII, 258
Topics