Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning: Adaptation and Multi-Agent Learning, 5th, 6th, and 7th European . / Lecture Notes in Artificial Intelligence)

Tuyls, Karl [Editor]; Nowe, Ann [Editor]; Guessoum, Zahia [Editor]; Kudenko, Daniel [Editor];

ISBN 10: 3540779477 / ISBN 13: 9783540779476

Verlag: Springer, 2008

Beschreibung

We are unable to ship to Canada at this time.Ex-library paperback in very nice condition with the usual markings and attachments.

Bestandsnummer des Verkäufers DA1411977

Bibliografische Details

• Titel: Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning: Adaptation and Multi-Agent Learning, 5th, 6th, and 7th European . / Lecture Notes in Artificial Intelligence)
• Verlag: Springer
• Erscheinungsjahr: 2008
• Sprache: Englisch
• ISBN-10: 3540779477
• ISBN-13: 9783540779476
• Einband: Paperback
• Zustand: Very Good
• Gewicht: 15 Unzen

Über diesen Titel

Inhaltsangabe

This book constitutes the thoroughly refereed post-conference proceedings of three editions of the European Symposium on Adaptive and Learning Agents and Multi-Agent Systems, ALAMAS, held in Paris, Brussels and Maastricht in 2005, 2006, and 2007 respectively. This book presents 17 revised and carefully reviewed papers selected from 51 total submissions to the ALAMAS symposia from 2005 to 2007. This volume aims at increasing awareness and interest in adaptation and learning for single agents and multi-agent systems, and encourages collaboration between Machine Learning experts, Software Engineering experts, Mathematicians, Biologists and Physicists, and gives a representative overview of current state of affairs in this area.

Reseña del editor

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.