Complex Systems Summer School 2014-Lecture Slides: Difference between revisions
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==Sander Bais== | ==Sander Bais== | ||
[[Symmetry Breaking & Introduction]] | [[Symmetry Breaking & Introduction]] | ||
==Ben Althouse== | ==Ben Althouse== | ||
Infectious Disease | [[Using Modeling to Understand Infectious Disease Dynamics]] | ||
==Ruben Andrist== | ==Ruben Andrist== | ||
[[SEEING THE WORLD THROUGH SPIN GLASSES]] | |||
==W. Brian Arthur== | ==W. Brian Arthur== | ||
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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== | ||
[[Bettencourt Slides]] | |||
==Liz Bradley== | ==Liz Bradley== | ||
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==Simon DeDeo== | ==Simon DeDeo== | ||
Statistical Inference and Stochastic Processes | [[Statistical Inference and Stochastic Processes]] | ||
==Jennifer Dunne== | ==Jennifer Dunne== | ||
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==J. Doyne Farmer== | ==J. Doyne Farmer== | ||
Economics | [[Economics]] | ||
==Evandro Ferrada== | ==Evandro Ferrada== | ||
[[Ferrada Lecture]] | |||
==John Harte== | ==John Harte== | ||
[[The maximum entropy method of inference and its application to ecology]] | [[The maximum entropy method of inference and its application to ecology]] | ||
==Ryan Gregory James== | ==Ryan Gregory James== | ||
Complexity | [[Complexity]] | ||
==Anne Kandler== | ==Anne Kandler== | ||
Matching Models with Data<br> | [[Matching Models with Data]]<br> | ||
==Jure Leskovec== | ==Jure Leskovec== | ||
Machine Learning<br> | [[Machine Learning]]<br> | ||
==Melanie Mitchell== | ==Melanie Mitchell== | ||
[[Introduction to Complexity and Agent Based Modeling]] | [[Introduction to Complexity and Agent Based Modeling]] | ||
==Cris Moore== | ==Cris Moore== | ||
Computation | [[Computation]] | ||
==Scott Ortman== | ==Scott Ortman== | ||
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==Sam Scarpino== | ==Sam Scarpino== | ||
[[The Evolution of Antiviral Resistance]] | |||
==Sidney Redner== | ==Sidney Redner== | ||
Complex Networks | [[Complex Networks]] | ||
==Cosma Shalizi== | ==Cosma Shalizi== | ||
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==Geoffrey West== | ==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 | [[A Unifying Framework for the Dynamics and Structure of Organisms, Ecosystems, Cities and Companies; from Metabolism, Growth and Mortality to Cancer and Sleep]] | ||
Latest revision as of 13:17, 14 July 2014
| 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