The Resource Anticipation: Learning from the Past : The Russian/Soviet Contributions to the Science of Anticipation, edited by Mihai Nadin, (electronic resource)

Anticipation: Learning from the Past : The Russian/Soviet Contributions to the Science of Anticipation, edited by Mihai Nadin, (electronic resource)

Label
Anticipation: Learning from the Past : The Russian/Soviet Contributions to the Science of Anticipation
Title
Anticipation: Learning from the Past
Title remainder
The Russian/Soviet Contributions to the Science of Anticipation
Statement of responsibility
edited by Mihai Nadin
Contributor
Editor
Provider
Subject
Language
eng
Summary
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
Member of
Image bit depth
0
LC call number
Q342
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Nadin, Mihai.
  • SpringerLink
Series statement
Cognitive Systems Monographs,
Series volume
25
http://library.link/vocab/subjectName
  • Engineering
  • Science
  • Artificial intelligence
  • Engineering
  • Computational Intelligence
  • Mathematical Models of Cognitive Processes and Neural Networks
  • Artificial Intelligence (incl. Robotics)
  • History of Science
Label
Anticipation: Learning from the Past : The Russian/Soviet Contributions to the Science of Anticipation, edited by Mihai Nadin, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Part I Alexei A. Ukhtomsky and Dominance Studies -- Part II Peter K. Anokhin and the Theory of Functional Systems -- Part III Nikolai A. Bernstein and the Physiology of Activity -- Part IV Dimitri N. Uznadze and the Theory of Set -- Part V Evolutionary, Behavioral, Theoretical Approaches -- Part VI Medical and Applied Perspectives
Dimensions
unknown
Extent
X, 520 p. 98 illus., 2 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9783319194462
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-19446-2
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-319-19446-2
Label
Anticipation: Learning from the Past : The Russian/Soviet Contributions to the Science of Anticipation, edited by Mihai Nadin, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Part I Alexei A. Ukhtomsky and Dominance Studies -- Part II Peter K. Anokhin and the Theory of Functional Systems -- Part III Nikolai A. Bernstein and the Physiology of Activity -- Part IV Dimitri N. Uznadze and the Theory of Set -- Part V Evolutionary, Behavioral, Theoretical Approaches -- Part VI Medical and Applied Perspectives
Dimensions
unknown
Extent
X, 520 p. 98 illus., 2 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9783319194462
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-19446-2
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-319-19446-2

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