About these proceedings
This book is based on the workshop on Adaptation and Learning in Multi-Agent Systems, held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI'95, in Montreal, Canada in August 1995.
The 14 thoroughly reviewed revised papers reflect the whole scope of current aspects in the field: they describe and analyze, both experimentally and theoretically, new learning and adaption approaches for situations in which several agents have to cooperate or compete. Also included, and aimed at the novice reader, are a comprehensive introductory survey on the area with 154 references listed and a subject index. As the first book solely devoted to this area, this volume documents the state of the art and is thus indispensable for anyone active or interested in the field.
Adaptive Learning Adaptive Systeme Adaptive Systems Adaptives Lernen Agent-Based Technology Agentenbasierte Technologie Machine Learning Maschinelles Lernen Mehr-Agenten-Systeme Multi-Agent Systems reinforcement learning robot supervised learning
Springer-Verlag Berlin Heidelberg 1996
Springer, Berlin, Heidelberg
Springer Book Archive
Series Print ISSN
Series Online ISSN
About this book