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 /

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Bibliographic Details
Meeting name:ALAMAS 2005 (2005 : Paris, France)
Imprint:Berlin ; New York : Springer, 2008.
Description:1 online resource (viii, 254 pages) : illustrations.
Language:English
Series:LNCS sublibrary. SL 7, Artificial intelligence
Lecture notes in computer science, 0302-9743 ; 4865. Lecture notes in artificial intelligence
LNCS sublibrary. SL 7, Artificial intelligence.
Lecture notes in computer science ; 4865.
Lecture notes in computer science. Lecture notes in artificial intelligence.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11067365
Hidden Bibliographic Details
Varying Form of Title:ALAMAS 2005-2007
Other authors / contributors:Tuyls, Karl.
ALAMAS 2006 (2006 : Brussels, Belgium)
ALAMAS 2007 (2007 : Maastricht, Netherlands)
ISBN:9783540779490
3540779493
9783540779476
3540779477
Notes:Includes bibliographical references and index.
Print version record.
Summary: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.
Other form:Print version: ALAMAS 2005 (2005 : Paris, France). Adaptive agents and multi-agent systems III. Berlin ; New York : Springer, 2008 9783540779476 3540779477
Standard no.:10.1007/978-3-540-77949-0