Complex Systems Summer School 2014-Lecture Slides: Difference between revisions
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==Nix Barnett== | ==Nix Barnett== | ||
Complexity Lab | Complexity Lab Supplemental Material:<br> | ||
[http://csc.ucdavis.edu/~chaos/courses/ncaso/Lectures/ 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.]<br> | |||
[http://csc.ucdavis.edu/~cmg/papers/ruro.pdf Regularities Unseen, Randomness Observed. Seminal paper on block entropy, entropy rate, and excess entropy.]<br> | |||
[http://csc.ucdavis.edu/~cmg/papers/Crutchfield.NaturePhysics2012.corrected.pdf Between Order and Chaos. Nature article on complexity measures and computational mechanics.]<br> | |||
[http://csc.ucdavis.edu/~cmg/papers/cmppss.pdf Seminal paper on epsilon-machines and their optimality.]<br> | |||
[http://csc.ucdavis.edu/~cmg/papers/bsihp.pdf Bayesian Structural Inference for Hidden Processes. Paper on Bayesian inference of epsilon-machines.]<br> | |||
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== | ==Luis Bettencourt== | ||
Revision as of 04:20, 23 June 2014
| Complex Systems Summer School 2014 |
Sander Bais
Symmetry Breaking & Introduction
Ben Althouse
Using Modeling to Understand Infectious Disease Dynamics
Ruben Andrist
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
Cities Project
Liz Bradley
Aaron Clauset
Networks and Human Social Dynamics and Online Competition
Simon DeDeo
Statistical Inference and Stochastic Processes
Jennifer Dunne
J. Doyne Farmer
Economics
Evandro Ferrada
Evolution
Miguel Fuentes
Evening Lecture
Josh Garland
Nonlinear Dynamics Lab
Stephen Guerin
Sand Tables
Marcus Hamilton
Cities Project
John Harte
The maximum entropy method of inference and its application to ecology
Alfred Hubler
Physics Lab
Ryan Gregory James
Anne Kandler
Matching Models with Data
Jure Leskovec
Machine Learning
Eric Libby
Evolution of Biological Complexity
Andrew Lovato
History of Santa Fe
Melanie Mitchell
Introduction to Complexity and Agent Based Modeling
Pablo Marquet
Evening Lecture
Cris Moore
Computation
Scott Ortman
Urban Scaling and Social Complexity
Sam Scarpino
The Evolution of Antiviral Resistance
Sidney Redner
Complex Networks
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
Geoffrey West
A Unifying Framework for the Dynamics and Structure of Organisms, Ecosystems, Cities and Companies; from Metabolism, Growth and Mortality to Cancer and Sleep