Condition: Good. *Price HAS BEEN REDUCED by 10% until Monday, Sept. 15 (weekend SALE item)* 452 pp., hardcover, ex library, else text clean & binding tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
Hardcover. Condition: UsedGood. Hardcover; fading and shelf wear to exterior; previous owner's stampings on front and back end pages; otherwise in good condition with clean text and tight binding.
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Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 2005
ISBN 10: 3540274405 ISBN 13: 9783540274407
Language: English
Seller: Ammareal, Morangis, France
Softcover. Condition: Bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Edition 2005. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Slight signs of wear on the cover. Edition 2005. Ammareal gives back up to 15% of this item's net price to charity organizations.
Seller: GuthrieBooks, Spring Branch, TX, U.S.A.
Paperback. Condition: Very Good. Ex-library paperback in very nice condition with the usual markings and attachments.
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Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Seller: California Books, Miami, FL, U.S.A.
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Published by Springer, Springer Mär 2012, 2012
ISBN 10: 1468421085 ISBN 13: 9781468421088
Language: English
Seller: Wegmann1855, Zwiesel, Germany
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Add to basketTaschenbuch. Condition: Neu. Neuware -This book contains the Proceedings of the S~cond U. S. -Japan Seminar on Learning Control and Intelligent Control. The seminar, held at Gainesville, Florida, from October 22 to 26, 1973, was sponsored by the U. S. -Japan Cooperative Science Program, jointly supported by the National Science Foundation and the Japan Society for the Promotion of Science. The full texts of the twenty-one presented papers are included. The papers cover a variety of topics related to learning control and intelligent control, ranging from pattern recognition to system identification, from learning control to intelligent robots. During the past decade, there has been a considerable increase of interest in problems of machine learning, systems which exhibit learning behavior. In designing a system, if the a priori infor mation required is unknown or incompletely known, one approach is to design a system which is capable of learning the unknown infor mation during its operation. The learned information will then be used to improve the system's performance. This approach has been used in the design of pattern recognition systems, automatic control systems and system identification algorithms. If we naturally extend our goal to the design of systems which will behave more and more intelligently, learning systems research is only a preliminary step towards a general concept of integrated intelligent systems. One example of this class of systems is the intelligent robot, which integrates pattern recognition. learning and problem-solving into one intelligent system.
Published by Springer-Verlag New York Inc., 2012
ISBN 10: 1468421085 ISBN 13: 9781468421088
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 828.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Springer Berlin Heidelberg, 2005
ISBN 10: 3540274405 ISBN 13: 9783540274407
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents research performed as part of the EU project on biomimetic multimodal learning in a mirror neuron-based robot (MirrorBot) and contri- tions presented at the International AI-Workshop on NeuroBotics. The ov- all aim of the book is to present a broad spectrum of current research into biomimetic neural learning for intelligent autonomous robots. There is a need for a new type of robot which is inspired by nature and so performs in a more exible learned manner than current robots. This new type of robot is driven by recent new theories and experiments in neuroscience indicating that a biological and neuroscience-oriented approach could lead to new life-like robotic systems. The book focuses on some of the research progress made in the MirrorBot project which uses concepts from mirror neurons as a basis for the integration of vision, language and action. In this book we show the development of new techniques using cell assemblies, associative neural networks, and Hebbian-type learning in order to associate vision, language and motor concepts. We have developed biomimetic multimodal learning and language instruction in a robot to investigate the task ofsearching for objects. As well as the researchperformed in this area for the MirrorBot project, the second part of this book incorporates signi cant contributions from other research in the eld of biomimetic robotics. This second part of the book concentrates on the progress made in neuroscience inspired robotic learning approaches (in short: NeuroBotics).
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains the Proceedings of the S~cond U. S. -Japan Seminar on Learning Control and Intelligent Control. The seminar, held at Gainesville, Florida, from October 22 to 26, 1973, was sponsored by the U. S. -Japan Cooperative Science Program, jointly supported by the National Science Foundation and the Japan Society for the Promotion of Science. The full texts of the twenty-one presented papers are included. The papers cover a variety of topics related to learning control and intelligent control, ranging from pattern recognition to system identification, from learning control to intelligent robots. During the past decade, there has been a considerable increase of interest in problems of machine learning, systems which exhibit learning behavior. In designing a system, if the a priori infor mation required is unknown or incompletely known, one approach is to design a system which is capable of learning the unknown infor mation during its operation. The learned information will then be used to improve the system's performance. This approach has been used in the design of pattern recognition systems, automatic control systems and system identification algorithms. If we naturally extend our goal to the design of systems which will behave more and more intelligently, learning systems research is only a preliminary step towards a general concept of integrated intelligent systems. One example of this class of systems is the intelligent robot, which integrates pattern recognition. learning and problem-solving into one intelligent system.
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Add to basketPaperback. Condition: Like New. Like New. book.
Condition: As New. Unread book in perfect condition.
Published by Springer, Springer Mär 2012, 2012
ISBN 10: 1468421085 ISBN 13: 9781468421088
Language: English
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germany
US$ 64.65
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book contains the Proceedings of the S~cond U. S. -Japan Seminar on Learning Control and Intelligent Control. The seminar, held at Gainesville, Florida, from October 22 to 26, 1973, was sponsored by the U. S. -Japan Cooperative Science Program, jointly supported by the National Science Foundation and the Japan Society for the Promotion of Science. The full texts of the twenty-one presented papers are included. The papers cover a variety of topics related to learning control and intelligent control, ranging from pattern recognition to system identification, from learning control to intelligent robots. During the past decade, there has been a considerable increase of interest in problems of machine learning, systems which exhibit learning behavior. In designing a system, if the a priori infor mation required is unknown or incompletely known, one approach is to design a system which is capable of learning the unknown infor mation during its operation. The learned information will then be used to improve the system's performance. This approach has been used in the design of pattern recognition systems, automatic control systems and system identification algorithms. If we naturally extend our goal to the design of systems which will behave more and more intelligently, learning systems research is only a preliminary step towards a general concept of integrated intelligent systems. One example of this class of systems is the intelligent robot, which integrates pattern recognition. learning and problem-solving into one intelligent system. 464 pp. Englisch.
Published by Springer, Springer Mär 2012, 2012
ISBN 10: 1468421085 ISBN 13: 9781468421088
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
US$ 64.65
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book contains the Proceedings of the S~cond U. S. -Japan Seminar on Learning Control and Intelligent Control. The seminar, held at Gainesville, Florida, from October 22 to 26, 1973, was sponsored by the U. S. -Japan Cooperative Science Program, jointly supported by the National Science Foundation and the Japan Society for the Promotion of Science. The full texts of the twenty-one presented papers are included. The papers cover a variety of topics related to learning control and intelligent control, ranging from pattern recognition to system identification, from learning control to intelligent robots. During the past decade, there has been a considerable increase of interest in problems of machine learning, systems which exhibit learning behavior. In designing a system, if the a priori infor mation required is unknown or incompletely known, one approach is to design a system which is capable of learning the unknown infor mation during its operation. The learned information will then be used to improve the system's performance. This approach has been used in the design of pattern recognition systems, automatic control systems and system identification algorithms. If we naturally extend our goal to the design of systems which will behave more and more intelligently, learning systems research is only a preliminary step towards a general concept of integrated intelligent systems. One example of this class of systems is the intelligent robot, which integrates pattern recognition. learning and problem-solving into one intelligent system. 464 pp. Englisch.