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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…mehr
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.
Hermann Haken is Professor of the Institute for Theoretical Physics at the University of Stuttgart. He is known as the founder of synergetics. His research has been in nonlinear optics (in particular laser physics), solid state physics, statistical physics, and group theory. After the implementation of the first laser in 1960, Professor Haken developed his institute to an international center for laser theory. The interpretation of the laser principles as self organization of non equilibrium systems paved the way to the development of synergetics, of which Haken is recognized as the founder. Hermann Haken has been visiting professor or guest scientist in England, France, Japan, USA, Russia, and China. He is the author of some 23 textbooks and monographs that cover an impressive number of topics from laser physics to synergetics, and editor of a book series in synergetics. For his pathbreaking work and his influence on academic research, he has been awarded many-times. Among others
, he is member of the Order "Pour le merite" and received the Max Planck Medal in 1990.
Inhaltsangabe
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.
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.
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.
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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