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Lecture Notes in Artificial Intelligence

Adaptive Agents and Multi-Agent Systems II

Adaptation and Multi-Agent Learning

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

Table of contents (19 chapters)

Table of contents (19 chapters)
  • Gödel Machines: Towards a Technical Justification of Consciousness

    Pages 1-23

    Schmidhuber, Jürgen

  • Postext – A Mind for Society

    Pages 24-40

    Shalit, Avishalom (et al.)

  • Comparing Resource Sharing with Information Exchange in Co-operative Agents, and the Role of Environment Structure

    Pages 41-54

    Bartlett, Mark (et al.)

  • Baselines for Joint-Action Reinforcement Learning of Coordination in Cooperative Multi-agent Systems

    Pages 55-72

    Carpenter, Martin (et al.)

  • SMART (Stochastic Model Acquisition with ReinforcemenT) Learning Agents: A Preliminary Report

    Pages 73-87

    Child, Christopher (et al.)

Buy this book

eBook $84.99
price for USA in USD
  • ISBN 978-3-540-32274-0
  • 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 978-3-540-25260-3
  • 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 II
Book Subtitle
Adaptation and Multi-Agent Learning
Editors
  • Daniel Kudenko
  • Dimitar Kazakov
  • Eduardo Alonso
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
3394
Copyright
2005
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-32274-0
DOI
10.1007/b106974
Softcover ISBN
978-3-540-25260-3
Edition Number
1
Number of Pages
VIII, 313
Topics

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