Background Readings CSSS17
From Santa Fe Institute Events Wiki
The following is a collection of papers regarded as "classic" literature in Complex Systems Science. This list has been growing over the past few years and was formalized by Dan Rockmore for the 2010 Complex Systems Summer School.
Go to the Featured Alumni Profiles on the SFI Alumni website to read what former students have to say about CSSS and how to get the most out of your time at the summer school. It is also interesting to read what they are doing now.
For more readings, please explore the wiki content of previous summer schools.
Science and complexity by Warren Weaver
Last Updated for SFI CSSS13 March 25 2013
Bibles (Awesome Reference Books)
* All of Statistics (Wasserman). Recommended by Cosma Shalizi. * All of Nonparametric Statistics (Wasserman). Recommended by Cosma Shalizi. * Advanced Data Analysis from an Elementary Point of View (Shalizi) * Elements of Statistical Learning: Data Mining, Inference, and Prediction (Hastie, Tibshirani, Friedman). Recommended by Glenn Magerman * Pattern Recognition and Machine Learning (Christopher Bishop)
* Nature of Computation (Moore). Recommended by Christopher Moore. * The Algorithm Design Manual (Skiena). Recommended by Richard Barnes.
* Nonlinear Time Series Analysis (Kantz & Schreiber). Recommended by Liz Bradley. * Tidy Data (Hadley Wickham). Recommended by Brent Schneeman.
* Elements of Information Theory (Thomas M. Cover, Joy A. Thomas). Recommended by Simon DeDeo and others * The Mathematical Theory of Communication (Claude Shannon) * Information Theory, Inference and Learning Algorithms (David MacKay)
* Probability Theory: The Logic of Science (E.T. Jaynes). Recommended by Simon DeDeo and others
* Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations (Shoham & Leyton-Brown) * Networks, Crowds, and Markets: Reasoning About a Highly Connected World (David Easley & Jon Kleinberg)
Available for free here: http://www.cs.cornell.edu/home/kleinber/networks-book/ Recommended by Jae B. Cho (and Daniel Citron)
* Networks: an Introduction (Mark Newman). Recommended by Daniel Citron (and everyone, really. It's actually that good) * Dynamical Processes on Complex Networks (Barrat, Barthélemy, Vespignani). Recommended by Daniel Citron * Graph Theory (Reinhard Diestel). Great introduction to mathematics/proofs. Recommend by Glenn Magerman * Modern Graph Theory (Bollobas). Great & more intense introduction to math/proofs. Recommended by Glenn Magerman * Social and Economic Networks (Matt Jackson). Recommended by Glenn Magerman * Connections: An Introduction to the Economics of Networks (Sanjeev Goyal). More about game theory on networks. Recommended by Glenn Magerman
* Phi: A Voyage from the Brain to the Soul (Giulio Tononi). Recommended by Stefano Gurciullo * Consciousness as integrated information: a provisional manifesto (Giulio Tononi). Recommended by Stefano Gurciullo
Cognition and Biology
* Mind in Life (Evan Thompson). Recommended by Jelle Bruineberg * Dynamics in Action (Alicia Juarrero). Recommended by Jelle Bruineberg * Metabolic Ecology: A Scaling Approach (Sibley, Brown & Kondrik-Brown). Recommonded by Cobain
* Principles of Neural Science (Eric Kandel and others). Recommended by Kleber Neves * Principles of Neural Design (Peter Sterlin and Simon Laughlin). Recommended by Kleber Neves * Theoretical Neuroscience (Peter Dayan). Recommended by Tobias Morville * The Master and His Emissary (Ian McGilchrist). Recommended strongly by Tobias Morville * The Mating Mind (Geoffrey Miller). Recommended by Tobias Morville
Origin of Life & the Arrow of Time
* Chance and Necessity (Jacques Monod). Recommended by Tobias Morville * The End of Certainty (Ilya Prigogine). Recommended by Tobias Morville, seconded by Chris Verzijl * Time Reborn (Lee Smolin). Recommended by Tobias Morville * Wonderful Life (Stephen Jay Gould). Recommended by Tobias Morville
* The Sense of Style (Steven Pinker). Recommended by Tobias Morville * Intuition Pumps and Other Tools for Thinking (Daniel Dennett). Recommended by Tobias Morville
Agent Based Modelling
* Agent-based and Individual-based Modeling: A Practical Introduction. (by Steven F. Railsback and Volker Grimm). Recommended by Ilaria Bertazzi. * Agent-Based Models (Quantitative Applications in the Social Sciences) by Nigel Gilbert. Recommended by María Pereda
Social Sciences and Economics
Zipf Distribution of U.S. Firm Sizes (Robert L. Axtell)
120 Million Agents Self-Organize into 6 Million Firms (Robert L. Axtell)
* Growing Artificial Societies- Social Science from the Bottom Up ( by Epstein, Axtell). Recommended by Ilaria Bertazzi * Complex Economics - Individual and Collective Rationality ( by Kirman). Recommended by Ilaria Bertazzi * The Microeconomics of Complex Economies -textbook- ( by Elsner, Heinrich, Schwardt). Recommended by Ilaria Bertazzi * The Nature of Technology: What It Is and How It Evolves (by Brian Arthur). Recommended by Ilaria Bertazzi