Information and Self-Organization A Macroscopic Approach to Complex Systems /

• Main Author: Haken, Hermann (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
• Edition: Third Enlarged Edition.
• Series: Springer Series in Synergetics,
• Subjects: Physics.; Neurosciences.; Data structures (Computer science).; System theory.; Condensed matter.; Biophysics.; Biological physics.; Statistical physics.; Dynamical systems.; Statistical Physics, Dynamical Systems and Complexity.; Systems Theory, Control.; Condensed Matter Physics.; Biophysics and Biological Physics.; Data Structures, Cryptology and Information Theory.

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...

Table of Contents:

• 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.