Lecture Notes in Computer Science: Adaptation and Multi-Agent Learning

Alonso, Eduardo; Kudenko, Daniel; Kazakov, Dimitar

Adaptive Agents and Multi-Agent Systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, computer science, software engineering, and developmental biology, as well as cognitive and social science.

This book surveys the state of the art in this emerging field by drawing together thoroughly selected reviewed papers from two related workshops; as well as papers by leading researchers specifically solicited for this book. The articles are organized into topical sections on

- learning, cooperation, and communication

- emergence and evolution in multi-agent systems

- theoretical foundations of adaptive agents

Details

Published by: Springer

Publication Date: 2003-04-23

Format: Paperback

ISBN-13: 9783540400684

DOI: 10.1007/3-540-44826-8

Dimensions: 235cm x155cm

Pages: 330