Information and Self-Organization

1. The Challenge of Complex Systems

2. From the Microscopic to the Macroscopic World ...

3. ... and Back Again: The Maximum Information Principle (MIP)

4. An Example from Physics: Thermodynamics

5. Application of the Maximum Information Principle to Self-Organizing Systems

6. The Maximum Information Principle for Nonequilibrium Phase Transitions: Determination of Order Parameters, Enslaved Modes, and Emerging Patterns

7. Information, Information Gain, and Efficiency of Self-Organizing Systems Close to Their Instability Points

8. Direct Determination of Lagrange Multipliers

9. Unbiased Modeling of Stochastic Processes: How to Guess Path Integrals, Fokker-Planck Equations and Langevin-Îto Equations

10. Application to Some Physical Systems

11. Transitions Between Behavioral Patterns in Biology. An Example: Hand Movements

12. Pattern Recognition. Unbiased Guesses of Processes: Explicit Determination of Lagrange Multipliers

13. Information Compression in Cognition: The Interplay between Shannon and Semantic Information

14. Quantum Systems

15. Quantum Information

16. Quantum Computation

17. Concluding Remarks and Outlook

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Avainsanat: SCIENCE / Physics SCI055000