Information and Self-Organization: A Macroscopic Approach to Complex Systems: Springer Series in Synergetics
Autor Hermann Hakenen Limba Engleză Paperback – 25 noi 2010
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Paperback (1) | 386.99 lei 43-57 zile | +196.94 lei 5-11 zile |
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Springer Berlin, Heidelberg – 26 iun 2006 | 392.60 lei 43-57 zile |
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Specificații
ISBN-13: 9783642069574
ISBN-10: 3642069576
Pagini: 276
Ilustrații: XIV, 258 p.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.39 kg
Ediția:Softcover reprint of hardcover 3rd ed. 2006
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Springer Series in Synergetics
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642069576
Pagini: 276
Ilustrații: XIV, 258 p.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.39 kg
Ediția:Softcover reprint of hardcover 3rd ed. 2006
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Springer Series in Synergetics
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
The Challenge of Complex Systems.- From the Microscopic to the Macroscopic World ....- ... and Back Again: The Maximum Information Principle (MIP).- An Example from Physics: Thermodynamics.- Application of the Maximum Information Principle to Self-Organizing Systems.- The Maximum Information Principle for Nonequilibrium Phase Transitions: Determination of Order Parameters, Enslaved Modes, and Emerging Patterns.- Information, Information Gain, and Efficiency of Self-Organizing Systems Close to Their Instability Points.- Direct Determination of Lagrange Multipliers.- Unbiased Modeling of Stochastic Processes: How to Guess Path Integrals, Fokker-Planck Equations and Langevin-Îto Equations.- Application to Some Physical Systems.- Transitions Between Behavioral Patterns in Biology. An Example: Hand Movements.- Pattern Recognition. Unbiased Guesses of Processes: Explicit Determination of Lagrange Multipliers.- Information Compression in Cognition: The Interplay between Shannon and Semantic Information.- Quantum Systems.- Quantum Information.- Quantum Computation.- Concluding Remarks and Outlook.
Recenzii
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)
"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)
Textul de pe ultima copertă
This book presents the concepts needed to deal with self-organizing complex systems from a unifying point of view that uses macroscopic data. The various meanings of the concept "information" are discussed and a general formulation of the maximum information (entropy) principle is used. With the aid of results from synergetics, adequate objective constraints for a large class of self-organizing systems are formulated and examples are given from physics, life and computer science. The relationship to chaos theory is examined and it is further shown that, based on possibly scarce and noisy data, unbiased guesses about processes of complex systems can be made and the underlying deterministic and random forces determined. This allows for probabilistic predictions of processes, with applications to numerous fields in science, technology, medicine and economics. The extensions of the third edition are essentially devoted to an introduction to the meaning of information in the quantum context. Indeed, quantum information science and technology is presently one of the most active fields of research at the interface of physics, technology and information sciences and has already established itself as one of the major future technologies for processing and communicating information on any scale.
This book addresses graduate students and nonspecialist researchers wishing to get acquainted with the concept of information from a scientific perspective in more depth. It is suitable as a textbook for advanced courses or for self-study.
This book addresses graduate students and nonspecialist researchers wishing to get acquainted with the concept of information from a scientific perspective in more depth. It is suitable as a textbook for advanced courses or for self-study.