The Springer International Series in Engineering and Computer Science

Real-Time Search for Learning Autonomous Agents

Authors: Ishida, Toru

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eBook $179.00
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About this book

Autonomous agents or multiagent systems are computational systems in which several computational agents interact or work together to perform some set of tasks. These systems may involve computational agents having common goals or distinct goals.
Real-Time Search for Learning Autonomous Agents focuses on extending real-time search algorithms for autonomous agents and for a multiagent world. Although real-time search provides an attractive framework for resource-bounded problem solving, the behavior of the problem solver is not rational enough for autonomous agents. The problem solver always keeps the record of its moves and the problem solver cannot utilize and improve previous experiments. Other problems are that although the algorithms interleave planning and execution, they cannot be directly applied to a multiagent world. The problem solver cannot adapt to the dynamically changing goals and the problem solver cannot cooperatively solve problems with other problem solvers. This book deals with all these issues.
Real-Time Search for Learning Autonomous Agents serves as an excellent resource for researchers and engineers interested in both practical references and some theoretical basis for agent/multiagent systems. The book can also be used as a text for advanced courses on the subject.

Table of contents (5 chapters)

Buy this book

eBook $179.00
price for USA (gross)
  • ISBN 978-0-585-34507-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $229.00
price for USA
  • ISBN 978-0-7923-9944-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $229.00
price for USA
  • ISBN 978-1-4757-7064-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Real-Time Search for Learning Autonomous Agents
Authors
Series Title
The Springer International Series in Engineering and Computer Science
Series Volume
406
Copyright
1997
Publisher
Springer US
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-0-585-34507-9
DOI
10.1007/b102407
Hardcover ISBN
978-0-7923-9944-5
Softcover ISBN
978-1-4757-7064-3
Series ISSN
0893-3405
Edition Number
1
Number of Pages
XVI, 126
Topics