An awesome list of complex systems science resources.
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Table of Contents generated with DocToc
- Concepts
- Scientific Journals
- Blogs/Journals
- Societies/Communities
- Organizations
- Conferences
- Software
- Proprietary
- Other Resources
- Books
- Attractor, a trajectory in the state space of a system in which it tends to evolve towards
- Autopoiesis, the ability of a system to create and maintain itself
- Chaos, theory of chaotic systems
- Complexity
- Developmental Systems Theory, theoretical perspective on biological development, heredity, and evolution
- Dissipative System, a thermodynamically open system far from thermodynamic equilibrium
- Distributed Control
- Edge of Chaos, the transition zone between order and disorder
- Emergence, the whole is greater than the sum of the parts
- Fractal, self similar structure
- Holon, system that is both a whole and a part
- Network/Graph, network with non-trivial topological features
- Phase Transition, transition between states of matter
- Robustness, ability to tolerate perturbations
- Self-Organization, the process where form arises from local interactions between parts of an initially disordered system
- Simulation, imitation of the operation of a real-world process or system my, M., & Vespignani, A. (2013). Dynamical processes on complex networks.
- Complexity Cross-disciplinary journal about complex adaptive systems (open access)
- Blog of the Stanford Complex Systems Group
- The Systems Thinker
- Complexity Digest News feed on complexity
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Complexity research Informal slack community for keeping up to date with new findings in complex systems research
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New England Complex Systems Institute (NECSI) Independent academic research and educational institution
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The Vermont Complex Systems Center Research and educational center (University of Vermont)
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Santa Fe Institute Independent research and education center
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Stanford Complex Systems Group Complexity outreach, research and educational hub at Stanford connecting academia and industry
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Institut rhônalpin des systèmes complexes - IXXI Research center (ENS Lyon)
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Waterloo Institute for Complexity & Innovation (WICI) Research center (University of Waterloo)
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Institut des Systèmes Complexes - Paris Ile-de-France (ISC-PIF) An inter-institutional organization (CNRS unit) on complex systems research
- NetLogo Multi-agent modeling environment based on the LOGO language. It comes with a very large library of toy models
- Swarm A platform for agent-based models writen in Objective-C, models are coded in Java or Objective-C
- Repast Agent-based modeling and simulation platforms, models coded in C++ and Java
- MASON Multiagent simulation library core in Java
- Complexity Explorer Educational site with news/blog
- Wiener, N. (2016). Cybernetics or control and communication in the animal and the machine.
- Sorokin, A. (2012). Dynamics of information systems : mathematical foundations. New York, NY: Springer.
- Scheffer, M. (2009). Critical transitions in nature and society. Princeton, N.J: Princeton University Press.
- Nicolis, G., Basios, V., & (Firm), W. S. (2015). Chaos, information processing and paradoxical games : the legacy of John S. Nicolis. Singapore; Hackensack, N.J.: World Scientific Pub. Co.
- Newman, M. E. J. (2010). Networks : an introduction. Oxford; New York: Oxford University Press.
- Mitchell, S. D. (2013). Unsimple truths : science, complexity, and policy. Chicago [u.a.]: Univ. of Chicago Press.
- Maturana, H. R., & Varela, F. J. (2008). The tree of knowledge : the biological roots of human understanding. Boston [u.a.]: Shambhala.
- Mandelbrot, B. (2006). The fractal geometry of nature. New York: W.H. Freeman and Company.
- Kauffman, S. (2014). At Home in the Universe The Search for the Laws of Self-Organization and Complexity. Cary: Oxford University Press, USA.
- Gros, C. (2015). Complex and adaptive dynamical systems : a primer. Cham: Springer.
- Downey, A. (2012). Think complexity. Needham, Massachusetts: Green Tea Press.
- Boccara, N. (2014). Modeling complex systems. Springer-Verlag New York.
- Barrat, A., Barthelemy, M., & Vespignani, A. (2013). Dynamical processes on complex networks. Cambridge : Cambridge University Press