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03279nam a22005295i 4500 |
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978-3-319-11170-4 |
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DE-He213 |
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20151204162915.0 |
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141004s2015 gw | s |||| 0|eng d |
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|a 9783319111704
|9 978-3-319-11170-4
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|a 10.1007/978-3-319-11170-4
|2 doi
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|a QA76.9.M35
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|a 620
|2 23
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|a Haken, Hermann.
|e author.
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|a Information Adaptation: The Interplay Between Shannon Information and Semantic Information in Cognition
|h [electronic resource] /
|c by Hermann Haken, Juval Portugali.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2015.
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|a XIV, 90 p. 49 illus., 12 illus. in color.
|b online resource.
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|a text
|b txt
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|a computer
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|2 rdamedia
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|a online resource
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|a text file
|b PDF
|2 rda
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|a SpringerBriefs in Complexity,
|x 2191-5326
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|a Shannonian versus semantic information and cognition -- Information versus data -- The empirical basis of information adaptation -- A complexity theory approach to information -- On synergetic computers and other machines -- Pattern recognition as a paradigm of information adaptation -- From general principles of information adaptation to concrete specific models -- Some further applications and discussions of information adaptation.
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|a This monograph demonstrates the interplay between Shannon information and semantic information in cognition. It shows that Shannon’s information acts as driving force for the formation of semantic information; and vice versa, namely, that semantic information participates in the formation of Shannonian information. The authors show that in cognition, Shannonian and semantic information are interrelated as two aspects of a cognitive process termed as information adaptation. In the latter the mind/brain adapts to the environment by the deflating and/or inflating of the information conveyed by the environment. In the process of information adaptation, quantitative variations in Shannon’s information entail different meanings while different meanings affect the quantity of information. The book illustrates the above conceptually and mathematically by reference to three cognitive processes: pattern recognition, face learning and the recognition of a moving object.
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|a Engineering.
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|a Statistical physics.
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|a Sociophysics.
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|a Econophysics.
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|a Computational intelligence.
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|a Complexity, Computational.
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|a Engineering.
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|a Complexity.
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|a Socio- and Econophysics, Population and Evolutionary Models.
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|a Computational Intelligence.
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|a Nonlinear Dynamics.
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|a Portugali, Juval.
|e author.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783319111698
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830 |
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|a SpringerBriefs in Complexity,
|x 2191-5326
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856 |
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|u http://dx.doi.org/10.1007/978-3-319-11170-4
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-ENG
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|a Engineering (Springer-11647)
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