Complex Systems Summer School 2014-Lecture Slides
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Complex Systems Summer School 2014 |
Sander Bais
Symmetry Breaking & Introduction
Ben Althouse
Using Modeling to Understand Infectious Disease Dynamics
Ruben Andrist
SEEING THE WORLD THROUGH SPIN GLASSES
W. Brian Arthur
Complexity Economics: A Different Framework for Economic Thought
Nix Barnett
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
Luis Bettencourt
Liz Bradley
Aaron Clauset
Networks and Human Social Dynamics and Online Competition
Simon DeDeo
Statistical Inference and Stochastic Processes
Jennifer Dunne
J. Doyne Farmer
Evandro Ferrada
John Harte
The maximum entropy method of inference and its application to ecology
Ryan Gregory James
Anne Kandler
Jure Leskovec
Melanie Mitchell
Introduction to Complexity and Agent Based Modeling
Cris Moore
Scott Ortman
Urban Scaling and Social Complexity
Sam Scarpino
The Evolution of Antiviral Resistance
Sidney Redner
Cosma Shalizi
Statistics and Machine Learning
Lecture Slides:
CSSS Talk 1
CSSS Talk 2
CSSS Talk 3
From His Classes:
http://www.stat.cmu.edu/~cshalizi/462/syllabus.html
http://www.stat.cmu.edu/~cshalizi/ADAfaEPoV/
Andreas Wagner
Evolution and Genotype Networks