Overview
- Shows and explains how Shannon’s information acts as driving force for the formation of semantic information, and vice versa too, namely, that semantic information participates in the formation of Shannonian information
- Demonstrates that, in cognition, Shannonian and semantic information are interrelated as two aspects of a cognitive process
- Illustrates the concepts and mathematics by reference to three cognitive processes: pattern recognition, face learning and the recognition of a moving object
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Complexity (BRIEFSCOMPLEXITY)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Information Adaptation: The Interplay Between Shannon Information and Semantic Information in Cognition
Authors: Hermann Haken, Juval Portugali
Series Title: SpringerBriefs in Complexity
DOI: https://doi.org/10.1007/978-3-319-11170-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Author(s) 2015
Softcover ISBN: 978-3-319-11169-8Published: 16 October 2014
eBook ISBN: 978-3-319-11170-4Published: 04 October 2014
Series ISSN: 2191-5326
Series E-ISSN: 2191-5334
Edition Number: 1
Number of Pages: XIV, 90
Number of Illustrations: 37 b/w illustrations, 12 illustrations in colour
Topics: Complexity, Data-driven Science, Modeling and Theory Building, Computational Intelligence, Applications of Nonlinear Dynamics and Chaos Theory