1 Complex systems

This page collects the teaching related matter for the module of Complex systems.

1.1 Lecture notes

• "Introduction to complex systems science" [lecture notes|http://apice.unibo.it/xwiki/bin/download/Courses/ISAC1314%2DComplexSystems/intro-css.pdf].

1.1 Lab teaching material

• [Lab lecture|http://apice.unibo.it/xwiki/bin/download/Courses/ISAC1314%2DComplexSystems/lab%2Dlecture%2D1.zip] of 15 April 2014.

• [Lab lecture|http://apice.unibo.it/xwiki/bin/download/Courses/ISAC1314%2DComplexSystems/lab%2Dlecture%2D2.pdf] of 3 June 2014. R [code|http://apice.unibo.it/xwiki/bin/download/Courses/ISAC1314%2DComplexSystems/bn-functions.R] for BN analysis.

1.1 Articles

• [Cellular automata>http://www.stephenwolfram.com/pdf/Cellular-Automata-Stephen-Wolfram-Article.pdf] (by S. Wolfram)

• [Antichaos and adaptation>http://www.santafe.edu/media/workingpapers/91-09-037.pdf] (an introduction to Boolean networks by S. A. Kauffman)

• [Evolving coordinated group behaviours through maximization of mean mutual information>http://link.springer.com/article/10.1007%2Fs11721-008-0017-1] (by V. Sperati, V. Trianni and S. Nolfi)

• [Emergence and Control of Macro-Spatial Structures in Perturbed Cellular Automata, and Implications for Pervasive Computing Systems>http://zeus.ws.dei.polimi.it/is-manet/Documenti/pap-dismi-16.pdf] ( by M. Mamei, A. Roli, F. Zambonelli)

• [The detection of intermediate-level emergent structures and patterns>http://mitpress.mit.edu/sites/default/files/titles/content/ecal13/978-0-262-31709-2-ch054.pdf] (by M. Villani, A. Filisetti, S. Benedettini, A. Roli, D. Lane and R. Serra)

• [Guided self-organization>http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2801529/] (by M. Prokopenko)

• [Scale-Free Networks>http://www.barabasilab.com/pubs/CCNR-ALB_Publications/200305-01_SciAmer-ScaleFree/200305-01_SciAmer-ScaleFree.pdf] (by  A.-L. Barabási and E. Bonabeau)

• [Collective dynamics of 'small-world' networks>http://www.math.cornell.edu/m/sites/default/files/imported/People/strogatz/nature_smallworld.pdf] (by D. Watts and S. Strogatz)

• [Complex networks: Structure and dynamics>http://www.sciencedirect.com/science/article/pii/S037015730500462X] (by S. Boccaletti, V. Latora, Y. Moreno, M. Chavez and D.-U. Hwang)

1.1 Software

• [The R Project for Statistical Computing>http://www.r-project.org/]

• [igraph>http://igraph.sourceforge.net/]: R/Python/C software package for creating and manipulating graphs.

• [BoolNet>http://cran.r-project.org/web/packages/BoolNet/]: R library for the simulation of Boolean networks.

1.1 Links

• [Santa Fe Institute>http://www.santafe.edu/]
• [New England Complex Systems Institute>http://necsi.edu/]
• [Complex Systems Society>http://www.complexssociety.eu/]