Module:Complexity
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Complex Systems Summer School 2011 Modules |
Organized by Jim Crutchfield
Background
- T. Cover and J.Thomas, Elements of Information Theory, Wiley, Second Edition (2006) Chapters 1 - 7.
- M. Li and P.M.B.Vitanyi, An Introduction to Kolmogorov Complexity and its Applications , Springer, New York (1993).
- J. P. Crutchfield and D. P. Feldman, “Regularities Unseen, Randomness Observed: Levels of Entropy Convergence”,CHAOS 13:1 (2003) 25-54.
Lecture Notes
- Thursday
- Processes and Their Models: Complexity Lecture 1A (PDF)
- Information Theory: Complexity Lecture 1B (PDF)
- Information in Processes: Complexity Lecture 1C (PDF)
- Memory in Processes: Complexity Lecture 1D (PDF)
- Friday
- The Learning Channel: Complexity Lecture 2A (PDF)
- Causal Models: Complexity Lecture 2B (PDF)
- Measures of Complexity: Complexity Lecture 2C (PDF)
- Applications: Complexity Lecture 2D (PDF)
Ryan's talks
Readings
An Information-Theoretic Primer on Complexity, Self-Organisation and Emergence
Pattern Discovery and Computational Mechanics
Many Roads to Synchrony: Natural Time Scales and Their Algorithms
Information Accessibility and Cryptic Processes
Prediction, Retrodiction, and The Amount of Information Stored in the Present
Information modification and particle collisions in distributed computation
Reconstruction of Epsilon-Machines in Predictive Frameworks and Decisional States
A measure of statistical complexity based on predictive information
Excess entropy in natural language: present state and perspectives