Overview
- Presents the important influence of the pioneering research in the former Soviet Union to modern anticipation research
- Reports on contributions to the science of anticipation prior to Rosen’s and Nadin’s work
- Brings together contributions from world-wide and Russian first class academics and scholars
- Includes supplementary material: sn.pub/extras
Part of the book series: Cognitive Systems Monographs (COSMOS, volume 25)
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Table of contents (30 chapters)
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Front Matter
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Alexei A. Ukhtomsky and Dominance Studies
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Front Matter
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Peter K. Anokhin and the Theory of Functional Systems
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Front Matter
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Nikolai A. Bernstein and the Physiology of Activity
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Front Matter
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Keywords
About this book
This volume presents the work of leading scientists from Russia, Georgia, Estonia, Lithuania, Israel and the USA, revealing major insights long unknown to the scientific community. Without any doubt their work will provide a springboard for further research in anticipation. Until recently, Robert Rosen (Anticipatory Systems) and Mihai Nadin (MIND – Anticipation and Chaos) were deemed forerunners in this still new knowledge domain.
The distinguished neurobiologist, Steven Rose, pointed to the fact that Soviet neuropsychological theories have not on the whole been well received by Western science. These earlier insights as presented in this volume make an important contribution to the foundation of the science of anticipation. It is shown that the daring hypotheses and rich experimental evidence produced by Bernstein, Beritashvili, Ukhtomsky, Anokhin and Uznadze, among others—extend foundational work to aspects of neuroscience, physiology, motorics, education.
Editors and Affiliations
Bibliographic Information
Book Title: Anticipation: Learning from the Past
Book Subtitle: The Russian/Soviet Contributions to the Science of Anticipation
Editors: Mihai Nadin
Series Title: Cognitive Systems Monographs
DOI: https://doi.org/10.1007/978-3-319-19446-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-19445-5Published: 21 July 2015
Softcover ISBN: 978-3-319-35825-3Published: 15 October 2016
eBook ISBN: 978-3-319-19446-2Published: 03 July 2015
Series ISSN: 1867-4925
Series E-ISSN: 1867-4933
Edition Number: 1
Number of Pages: X, 520
Number of Illustrations: 96 b/w illustrations, 2 illustrations in colour
Topics: Computational Intelligence, Mathematical Models of Cognitive Processes and Neural Networks, Artificial Intelligence, History of Science