Complex systems are ubiquitous, and practically all branches of science ranging from physics through chemistry and biology to economics and sociology have to deal with them. In this book we wish to present concepts and methods for dealing with complex systems from a unifying point of view. Therefore it may be of inter est to graduate students, professors and research workers who are concerned with theoretical work in the above-mentioned fields. The basic idea for our unified ap proach sterns from that of synergetics. In order to find unifying principles we shall focus our attention on those situations where a complex system changes its macroscopic behavior qualitatively, or in other words, where it changes its macroscopic spatial, temporal or functional structure. Until now, the theory of synergetics has usually begun with a microscopic or mesoscopic description of a complex system. In this book we present an approach which starts out from macroscopic data. In particular we shall treat systems that acquire their new structure without specific interference from the outside; i. e. systems which are self-organizing. The vehicle we shall use is information. Since this word has several quite different meanings, all of which are important for our purpose, we shall discuss its various aspects. These range from Shannon information, from which all semantics has been exorcised, to the effects of information on receivers and the self-creation of meaning.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
From the reviews of the third edition:
"This enlarged edition of Information and Self-Organization addresses the concept of information in depth: ranging ‘from Shannon information, from which all semantics has been exorcised, to the effects of information on receivers and the self-creation of meaning’―that is, toward semantic information ... . Nevertheless, both the qualitative lessons and quantitative analysis presented in the book ... very useful for artificial life researchers." (Mikhail Prokopenko, Artificial Life, Vol. 15, 2009)
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Hardcover. xii, 196 S. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library in GOOD condition with library-signature and stamp(s). Some traces of use. R-16539 3540186395 Sprache: Englisch Gewicht in Gramm: 550. Codice articolo 2479949
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Condizione: Gut. XII, 196 P. Inside with owner notice, otherwise in very clean condition. English Language. Springer Series in Synergetics Bd. 40. Information and Self-Organization presents the concepts needed to deal with self-organizing complex systems from a unifying point of view that uses macroscopic data. The meanings of information are discussed. A general formulation of the maximum information (entropy) principle is used. With the aid of synergetics, adequate objective constraints for a large class of systems are formulated and examples are given from physics, biology, and computer science (pattern recognition by parallel computers).; - With 58 Figures. deu B08-01-04C|14052BB Sprache: Deutsch Gewicht in Gramm: 444 25 x 17 cm. Original Hardboard. Good condition. Codice articolo 20879
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