Information and Self-Organization : A Macroscopic Approach to Complex Systems
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. Wi...
保存先:
| 第一著者: | |
|---|---|
| フォーマット: | Livre numérique |
| 言語: | Anglais |
| 出版事項: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| 版: | Third Enlarged Edition. |
| シリーズ: | Springer Series in Synergetics
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| オンライン･アクセス: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 注記: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Information and self-organization, a macroscopic approach to complex systems, Hermann Haken, 3rd enlarged edition, 2006, Berlin, Springer, 1 vol. (XIV-257 p.), Springer series in synergetics, 3-540-33021-6 • Information and Self-Organization, Texte imprimé, 9783642069574 • Information and Self-Organization, Texte imprimé, 9783540821755 • Information and self-organization, a macroscopic approach to complex systems, Hermann Haken, 3rd enlarged edition, 2006, Berlin, Springer, 1 vol. (XIV-257 p.), Springer series in synergetics, 3-540-33021-6 |
目次:
- 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