Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3394)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: AAMAS 2003. AAMAS 2004.
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About this book
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.
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Keywords
Table of contents (19 papers)
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Adaptive Agents and Multi-Agent Systems II
Editors and Affiliations
Bibliographic Information
Book Title: Adaptive Agents and Multi-Agent Systems II
Book Subtitle: Adaptation and Multi-Agent Learning
Editors: Daniel Kudenko, Dimitar Kazakov, Eduardo Alonso
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/b106974
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2005
Softcover ISBN: 978-3-540-25260-3Published: 04 March 2005
eBook ISBN: 978-3-540-32274-0Published: 18 February 2005
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: VIII, 313
Topics: Artificial Intelligence, Software Engineering, Computer Communication Networks, Logics and Meanings of Programs, Programming Languages, Compilers, Interpreters, User Interfaces and Human Computer Interaction