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A curated list of resources related to complex systems, the scientific field studying systems with multiple interacting parts and emergent properties.




Contents

- Concepts (#concepts)
- Scientific Journals (#scientific-journals)
- Blogs/Journals (#blogsjournals)
- Societies/Communities (#societiescommunities)
- Organizations (#organizations)
- Models (#models)
- Software (#software)
  - Freely to use or open source (#freely-to-use-or-open-source)
  - Proprietary (#proprietary)
- Other Resources (#other-resources)
- Books (#books)



Concepts

- Attractor (https://en.wikipedia.org/wiki/Attractor) - A trajectory in the state space of a system in which it tends to evolve towards.
- Autopoiesis (https://en.wikipedia.org/wiki/Autopoiesis) - The ability of a system to create and maintain itself.
- Chaos (https://en.wikipedia.org/wiki/Chaos_theory) - Theory of chaotic systems.
- Complexity (https://en.wikipedia.org/wiki/Complexity) - The subject of complex systems science.
- Developmental Systems Theory (https://en.wikipedia.org/wiki/Developmental_systems_theory) - Theoretical perspective on biological development, heredity, and evolution.
- Dissipative System (https://en.wikipedia.org/wiki/Dissipative_system) - A thermodynamically open system far from thermodynamic equilibrium.
- Distributed Control (https://en.wikipedia.org/wiki/Distributed_control_system) - A control system without a central supervisor.
- Edge of Chaos (https://en.wikipedia.org/wiki/Edge_of_chaos) - The transition zone between order and disorder.
- Emergence (https://en.wikipedia.org/wiki/Emergence) - The whole is greater than the sum of the parts.
- Fractal (https://en.wikipedia.org/wiki/Fractal) - Self-similar structure.
- Holon (https://en.wikipedia.org/wiki/Holon_(philosophy)) - System that is both a whole and a part.
- Network/Graph (https://en.wikipedia.org/wiki/Complex_network) - Network with non-trivial topological features.
- Phase Transition (https://en.wikipedia.org/wiki/Phase_transition) - Transition between states of matter.
- Robustness (https://en.wikipedia.org/wiki/Robustness) - Ability to tolerate perturbations.
- Self-Organization (https://en.wikipedia.org/wiki/Self-organization) - The process where form arises from local interactions between parts of an initially disordered system.
- Simulation (https://en.wikipedia.org/wiki/Simulation) - Imitation of the operation of a real-world process or system.

Scientific Journals

- Complexity (https://www.hindawi.com/journals/complexity/) - Cross-disciplinary journal about complex adaptive systems (open access).

Blogs/Journals

- The Systems Thinker (https://thesystemsthinker.com/) - Articles with a systems perspective on various topics.
- Complexity Digest (https://comdig.unam.mx/) - News feed on complexity.
- Fractal forums (https://fractalforums.org/) - Forum and discussion community about fractals.

Societies/Communities

- Complex Systems Society (https://cssociety.org/home) - Scientific society for the study of complex systems.
- Complexity research (https://complexityresearch.slack.com/) - Informal slack community for keeping up to date with new findings in complex systems research.
- Complexity Weekend (https://www.complexityweekend.com/) - Complexity community of practice.

Organizations

- New England Complex Systems Institute (NECSI) (http://www.necsi.edu/) - Independent academic research and educational institution.
- The Vermont Complex Systems Center (http://vermontcomplexsystems.org/) - Research and educational center (University of Vermont).
- Santa Fe Institute (https://www.santafe.edu/) - Independent research and education center.
- Institut rhônalpin des systèmes complexes - IXXI (http://www.ixxi.fr/) - Research center (ENS Lyon).
- Waterloo Institute for Complexity & Innovation (WICI) (https://uwaterloo.ca/complexity-innovation) - Research center (University of Waterloo).
- Institut des Systèmes Complexes - Paris Ile-de-France (ISC-PIF) (https://iscpif.fr/) - An inter-institutional organization (CNRS unit) on complex systems research.

Models

- Boids (https://en.wikipedia.org/wiki/Boids) - Emergent flocking behavior.
  - Craig Reynolds' Boids page (https://www.red3d.com/cwr/boids/) - The creator's webpage with lots of links to multiple implementations.
- Cellular automata (https://en.wikipedia.org/wiki/Cellular_automaton) - Discrete compuation model.
- Elementary cellular automaton (https://en.wikipedia.org/wiki/Elementary_cellular_automaton) - One-dimensional cellular automata.
- Game of Life (https://en.wikipedia.org/wiki/Conway%27s_Game_of_Life) - Two-dimensional cellular automaton with emergent life-like patterns.
  - ConwayLife (http://www.conwaylife.com/) - Community for game-of-life and similar simulations.
  - golly (http://golly.sourceforge.net/) - State-of-the-art simulator.
  - Lenia (https://en.wikipedia.org/wiki/Lenia) - Continuous generalization of the game of life.
- Double pendulum (https://en.wikipedia.org/wiki/Double_pendulum) - Chaotic motion.
- Kuramoto model (https://en.wikipedia.org/wiki/Kuramoto_model) - Synchronization.
- Barabási–Albert (BA) model (https://en.wikipedia.org/wiki/Barab%C3%A1si%E2%80%93Albert_model) - Algorithm for generating random graphs with preferential attachment.
- Schelling's model (https://en.wikipedia.org/wiki/Schelling%27s_model_of_segregation) - Agent-based model for segregation.
- Ising model (https://en.wikipedia.org/wiki/Ising_model) - Simple model that can show phase transitions.
- Reaction-diffusion (https://en.wikipedia.org/wiki/Reaction%E2%80%93diffusion_system) - Self-organization and pattern formation model.
- Abelian sandpile model (https://en.wikipedia.org/wiki/Abelian_sandpile_model) - Model showing self-organized criticality.

Software

Freely to use or open source

- NetLogo (https://ccl.northwestern.edu/netlogo/) - Multi-agent modeling environment based on the LOGO language. It comes with a very large library of toy models.
- Simulus (https://simulus.readthedocs.io/en/latest/) - ABM library in Python.
- Swarm (http://www.swarm.org/wiki/Swarm_main_page) - A platform for agent-based models written in Objective-C, models are coded in Java or Objective-C.
- Repast (https://repast.github.io/) - Agent-based modeling and simulation platforms, models coded in C++ and Java.
- MASON (https://cs.gmu.edu/~eclab/projects/mason/) - Multiagent simulation library core in Java.
- HASH (https://hash.ai/) - Graph and agent simulation platform.
- Hybrid Automata Library (https://github.com/MathOnco/HAL) - Java library for hybrid modeling combining agent-based and partial-differential equation components. 

Proprietary

- Stella (https://www.iseesystems.com/store/products/stella-architect.aspx) - Modelling and interactive simulations.
- Ventity/Vensim (http://www.ventanasystems.com/software/) - Simulation software.
- Cosmo Tech platform (https://cosmotech.com) - Digital twins simulator software.

Other Resources

- Complexity Explorer (https://www.complexityexplorer.org/) - Educational site with news/blog.
- Map of Complex systems History (http://www.art-sciencefactory.com/complexity-map_feb09.html) - An impressive overview of the evolution of complex systems thinking.
- Stanford Complexity Group (https://www.youtube.com/user/StanfordComplexity/videos) - YouTube channel with videos from the group's events.
- Awesome Network Analysis (https://github.com/briatte/awesome-network-analysis) - Resources for analysis of network data.

Books

- Wiener, N. (2016). Cybernetics or control and communication in the animal and the machine. (https://worldcat.org/en/title/1155181636) - The book introduced the term cybernetics to describe a self-regulation 
mechanism.
- Scheffer, M. (2009). Critical transitions in nature and society. Princeton, N.J: Princeton University Press. (https://worldcat.org/en/title/1229162077) - A nicely written and accessible description of the 
critical transition and related concepts.
- 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. 
(https://worldcat.org/en/title/891718596) - An edited volume of studies honoring the legacy of John Nicolis contribution to complex systems.
- Newman, M. E. J. (2010). Networks: an introduction. Oxford; New York: Oxford University Press. (https://worldcat.org/en/title/923343299) - A comprehensive introduction to network science.
- Mitchell, S. D. (2013). Unsimple truths: science, complexity, and policy. Chicago: Univ. of Chicago Press. (https://worldcat.org/en/title/855547314) - The book introduces the perspective of  integrative 
puralism as a way of understanding and studying the world.
- Maturana, H. R., & Varela, F. J. (2008). The tree of knowledge: the biological roots of human understanding. Boston: Shambhala. (https://worldcat.org/en/title/316152876) - The book is an exposition of the 
non-representational vew of knowledge.
- Mandelbrot, B. (2006). The fractal geometry of nature. New York: W.H. Freeman and Company. (https://worldcat.org/en/title/1286107107) - Beautiful introduction to the world of fractals.
- Kauffman, S. (2014). At Home in the Universe The Search for the Laws of Self-Organization and Complexity. Cary: Oxford University Press, USA. (https://worldcat.org/en/title/36889961) - The book introduces in 
an accessible way the influence of concepts such as self-organization and the edge of chaos. 
- Gros, C. (2015). Complex and adaptive dynamical systems: a primer. Cham: Springer. (https://worldcat.org/en/title/906708597) - Technical and accessible introduction to a number of important concepts in complex
systems science.
- Downey, A. (2012). Think complexity. Needham, Massachusetts: Green Tea Press. (https://worldcat.org/en/title/1043913738) - A hands-on approach exploring complex systems models with Python.
- Boccara, N. (2014). Modeling complex systems. Springer-Verlag New York. (https://worldcat.org/en/title/934989650) - An overview of important mathematical models of complex systems.
- Barrat, A., Barthelemy, M., & Vespignani, A. (2013). Dynamical processes on complex networks. Cambridge: Cambridge University Press (https://worldcat.org/en/title/849822968) - Dynamic models on complex 
networks.