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.
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Specifications
Dimensions
Height
235 mm
Length
155 mm
Weight
800 gr
Series & Set Details
Series Name
Lecture Notes in Computer Science
Book Details
Title
Adaptation and Learning in Multi-Agent Systems
Imprint
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Product Form
Paperback
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Genre
Computers
Source Type
N
ISBN13
9783540609230
Book Category
Higher Education and Professional Books
BISAC Subject Heading
COM094000
Book Subcategory
Computing and Information Technology Books
ISBN10
9783540609230
Language
English
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