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

Kudenko, Daniel; Kazakov, Dimitar; Alonso, Eduardo

Adaptive agents and multi-agent systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, software engineering, and developmental biology, as well as cognitive and social science.

This book presents 17 revised and carefully reviewed papers taken from two workshops on the topic as well as 2 invited papers by leading researchers in the area. The papers deal with various aspects of machine learning, adaptation, and evolution in the context of agent systems and autonomous agents.

Details

Published by: Springer

Publication Date: 2005-03-04

Format: Paperback

ISBN-13: 9783540252603

DOI: 10.1007/b106974

Dimensions: 235cm x155cm

Pages: 313