Organization Structure: Cybernetic Systems Foundation, Yasuhiko Takahara; Mihajlo Mesarovic

Автор: A. Fradkov
Название: Cybernetical Physics
ISBN: 3642079679 ISBN-13(EAN): 9783642079672
Издательство: Springer
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Цена: 13059.00 р.
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Описание: Cybernetical physics borrows methods from both theoretical physics and control engineering. It deals with the control of complex systems is one of the most important aspects in dealing with systems exhibiting nonlinear behavior or similar features that defy traditional control techniques. This book fully details this new discipline.

Автор: D.A Novikov
Название: Cybernetics
ISBN: 3319273965 ISBN-13(EAN): 9783319273969
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book is a concise navigator across the history of cybernetics, its state-of-the-art and prospects. A new development stage of cybernetics (the so-called cybernetics 2.0) is discussed as a science on general regularities of systems organization and control.

Название: Automation, communication and cybernetics in science and engineering 2013/2014
ISBN: 3319088157 ISBN-13(EAN): 9783319088150
Издательство: Springer
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Цена: 19564.00 р.
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Описание:

Foreword.- List of Contributors.- Part 1: Agile and Turbulence-Suitable Processes for Knowledge and Technology Intensive Organizations.- Part 2: Next-Generation Teaching and Learning Concepts for Universities and the Economy.- Part 3: Cognitive IT-Supported Processes for Heterogeneous and Cooperative Systems.- Part 4: Target Group-Adapted User Models for Innovation and Technology Development Processes.- Part 5: Semantic Networks and Ontologies for Complex Value Chains and Virtual Environments.- Appendix: Monographs and Published Books from IMA/ZLW & IfU.

Автор: Alex M. Andrew
Название: A Missing Link in Cybernetics
ISBN: 1441925848 ISBN-13(EAN): 9781441925848
Издательство: Springer
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Цена: 16070.00 р.
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Описание: Unconventional and challenging viewpoints are presented in this book that will be of interest to researchers in AI, psychology, cybernetics and systems science. The book systematically advances an alternative approach to analyze and model intelligence.