On Communication. An Interdisciplinary and Mathematical Approach

This book offers a radical new approach for the understanding of communication. By using the theoretical framework of complex systems theory communication is defined as the interplay of social and cognitive dynamics: communicators are modelled as complex cognitive systems who interact according to s...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Klüver, Jurgen (Συγγραφέας), Klüver, Christina (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Dordrecht : Springer Netherlands, 2007.
Σειρά:Theory and Decision Library ; 40
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a On Communication. An Interdisciplinary and Mathematical Approach  |h [electronic resource] /  |c by Jurgen Klüver, Christina Klüver. 
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490 1 |a Theory and Decision Library ;  |v 40 
505 0 |a Introduction: Communication – problems of a concept and a new methodical approach -- Excursion into complex systems theory -- Meaning and Information: the semantic dimension of communication -- The social dimension of communication -- The cognitive dimension of communication -- The general equations of communicative processes -- Examples: Computer Models as Operationalization -- Epilogue: The Mathematical Conditions of Human Cognition and Communication. 
520 |a This book offers a radical new approach for the understanding of communication. By using the theoretical framework of complex systems theory communication is defined as the interplay of social and cognitive dynamics: communicators are modelled as complex cognitive systems who interact according to social rules and generate communicative systems. Messages generate meaning, which is understood as an attractor in the cognitive system of the receiver. Information is measured via the difference between a factual message and the message expected by the receiver. These theoretical definitions are operationalized by the application of certain computer programs, namely Soft Computing programs like cellular automata and artificial neural nets. In many examples the authors demonstrate how it is possible to model and analyze communicative processes, i.e. social combined with cognitive ones. The computational models are validated by social experiments that show how communicative complexity can be simulated and in some parts prognosticated. The considerations of the book are finally systematized by general equations of communication. The book refers to readers of different disciplines like communications science, social sciences, cognitive sciences and computer science. Yet no special knowledge in these sciences and/or mathematics is presupposed. Scholars of these sciences and graduate students should have no principal difficulties with the text. 
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