View source for Background Readings CSSS15

{{Complex Systems Summer School 2015}}

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. 

For more readings, please explore the wiki content of previous summer schools.
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[http://philoscience.unibe.ch/documents/uk/weaver1948.pdf Science and complexity by Warren Weaver]

[http://www.jstor.org/stable/184253 Rosenblueth, A., and N. Wiener. 1945. The Role of Models in Science. Philosophy of Science 12 (4):316-321.]

[http://cm.bell-labs.com/cm/ms/what/shannonday/shannon1948.pdf Shannon, C.E. 1948. A Mathematical Theory of Communication. Bell System Technical Journal 27:379-423 623-656.]

[http://www.google.com/url?sa=t&source=web&ct=res&cd=1&ved=0CBsQFjAA&url=http%3A%2F%2Fwww.dna.caltech.edu%2Fcourses%2Fcs191%2Fpaperscs191%2Fturing.pdf&ei=-iEFTOabHI7eNYSZkDw&usg=AFQjCNGopAGCXkZ7OBVBFLY0rIh-9O6Fhg&sig2=oO6O7ehULch49r03agAWlA Turing, A.M. 1952. The Chemical Basis of Morphogenesis. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 237 (641):37-72.]

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.79.7413&rep=rep1&type=pdf Minksy, M. 1961. Steps Toward Artificial Intelligence. Proceedings of the Institute of Radio Engineers 49 (1):8-30.]

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.68.7646&rep=rep1&type=pdf Landauer, R. 1961. Irreversibility and Heat Generation in the Computing Process. IBM Journal of Research and Development 5:183-191.]

[http://www.jstor.org/stable/2295952 Arrow, K.J. 1962. The Economic Implications of Learning by Doing. Review of Economic Studies 80:155-173.]

[http://www.jstor.org/stable/1301992 Raup, D.M. 1966. Geometric Analysis of Shell Coiling; General Problems. Journal of Paleontology 40 (5):1178-1190.]

[http://portal.acm.org/citation.cfm?id=1045373 Holland, J.H., and J.S. Reitman. 1977. Cognitive Systems Based on Adaptive Algorithms. SIGART Newsletter (63):49.]

[http://www.google.com/url?sa=t&source=web&ct=res&cd=3&ved=0CB8QFjAC&url=http%3A%2F%2Fchaos.swarthmore.edu%2Fcourses%2FSOC26%2FBak-Sneppan%2F07_Gould.pdf&ei=6CUFTJb8LqPCMu2MpDs&usg=AFQjCNH0Ua8JG_7QtipRRBvLt5V8E7kJyQ&sig2=457Aj9mKdg5-b-z4NrbHCw Gould, S.J., and N. Eldredge. 1977. Punctuated Equilibria: the Tempo and Mode of Evolution Reconsidered. Paleobiology 3 (2):115-151.]

[http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6TVK-4CVPV04-C&_user=1695018&_coverDate=11%2F30%2F1986&_rdoc=1&_fmt=high&_orig=search&_sort=d&_docanchor=&view=c&_rerunOrigin=scholar.google&_acct=C000054245&_version=1&_urlVersion=0&_userid=1695018&md5=42419038a0560af45057c065a719b326 Langton, C.G. 1986. Studying Artificial Life with Cellular Automata. Physica D: Nonlinear Phenomena 22 (1-3):120-149.]

[http://arxiv.org/abs/cond-mat/0412004 M. E. J. Newman. 2005. "Power laws, Pareto distributions and Zipf's law."  Contemporary Physics 46, 323-351.] 

[http://arxiv.org/abs/0706.1062 Aaron Clauset, Cosma Rohilla Shalizi, M. E. J. Newman. 2009. "Power-law distributions in empirical data." SIAM Review 51, 661-703.]

<span style="font-variant:small-caps">Last Updated for SFI CSSS13 March 25 2013</span>


=Bibles (Awesome Reference Books)=

==Statistics==

 * All of Statistics (Wasserman). Recommended by '''Cosma Shalizi'''.
 * All of Nonparametric Statistics (Wasserman). Recommended by '''Cosma Shalizi'''.
 * [http://www.stat.cmu.edu/~cshalizi/ADAfaEPoV/ 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)

==Computer Science==

 * Nature of Computation (Moore). Recommended by '''Christopher Moore'''.
 * The Algorithm Design Manual (Skiena). Recommended by Richard Barnes.

==Data Analysis==

 * Nonlinear Time Series Analysis (Kantz & Schreiber). Recommended by '''Liz Bradley'''.

==Information Theory==

 * 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==

 * Probability Theory: The Logic of Science (E.T. Jaynes). Recommended by Simon DeDeo and others

==Game Theory==

 * 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)

==Network stuff==

 * 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

==Consciousness==

 * 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