Complex Systems Summer School 2014-Lecture Slides
From Santa Fe Institute Events Wiki
W. Brian Arthur
Complexity Lab Supplemental Material:
20-week course "Natural Computation" by Jim Crutchfield. Dynamical systems, information theory of stochastic processes, epsilon-machines, computational mechanics. Lecture slides and videos of each lecture are included. First few lectures highly suggested at minimum.
Regularities Unseen, Randomness Observed. Seminal paper on block entropy, entropy rate, and excess entropy.
Between Order and Chaos. Nature article on complexity measures and computational mechanics.
Seminal paper on epsilon-machines and their optimality.
Bayesian Structural Inference for Hidden Processes. Paper on Bayesian inference of epsilon-machines.
If you'd like some more specific papers on other inference algorithms, or more advanced concepts such as causal irreversibility or b_\mu, let me know and I'll add them. -Nix
J. Doyne Farmer
Ryan Gregory James
Statistics and Machine Learning
From His Classes: