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.