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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...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2006.
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| Edición: | 3rd ed. 2006. |
| Colección: | Springer Series in Synergetics,
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| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- 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.