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Lecture Notes in Artificial Intelligence

Adaptive Agents and Multi-Agent Systems

Adaptation and Multi-Agent Learning

Editors: Alonso, Eduardo, Kudenko, Daniel, Kazakov, Dimitar (Eds.)

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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, 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

Table of contents (18 chapters)

Table of contents (18 chapters)
  • Cooperative Multiagent Learning

    Pages 1-17

    Plaza, Enric (et al.)

  • Reinforcement Learning Approaches to Coordination in Cooperative Multi-agent Systems

    Pages 18-32

    Kapetanakis, Spiros (et al.)

  • Cooperative Learning Using Advice Exchange

    Pages 33-48

    Nunes, Luís (et al.)

  • Environmental Risk, Cooperation, and Communication Complexity

    Pages 49-65

    Andras, Peter (et al.)

  • Multiagent Learning for Open Systems: A Study in Opponent Classification

    Pages 66-87

    Rovatsos, Michael (et al.)

Buy this book

eBook $84.99
price for USA in USD (gross)
  • ISBN 978-3-540-44826-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $109.00
price for USA in USD
  • ISBN 978-3-540-40068-4
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Adaptive Agents and Multi-Agent Systems
Book Subtitle
Adaptation and Multi-Agent Learning
Editors
  • Eduardo Alonso
  • Daniel Kudenko
  • Dimitar Kazakov
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
2636
Copyright
2003
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-44826-6
DOI
10.1007/3-540-44826-8
Softcover ISBN
978-3-540-40068-4
Edition Number
1
Number of Pages
XIV, 330
Topics

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