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

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  The subject of complex systems science.

Developmental Systems Theory  Theoretical perspective on biological development, heredity, and evolution.

Dissipative System  A thermodynamically open system far from thermodynamic equilibrium.

Distributed Control  A control system without a central supervisor.

Edge of Chaos  The transition zone between order and disorder.

Emergence  The whole is greater than the sum of the parts.

Fractal  Selfsimilar structure.

Holon  System that is both a whole and a part.

Network/Graph  Network with nontrivial topological features.

Phase Transition  Transition between states of matter.

Robustness  Ability to tolerate perturbations.

SelfOrganization  The process where form arises from local interactions between parts of an initially disordered system.

Simulation  Imitation of the operation of a realworld process or system.
Scientific Journals

Complexity  Crossdisciplinary journal about complex adaptive systems (open access).
Blogs/Journals
Societies/Communities
Organizations
Models
Software
Freely to use or open source

NetLogo  Multiagent modeling environment based on the LOGO language. It comes with a very large library of toy models.

Simulus  ABM library in Python.

Swarm  A platform for agentbased models written in ObjectiveC, models are coded in Java or ObjectiveC.

Repast  Agentbased modeling and simulation platforms, models coded in C++ and Java.

MASON  Multiagent simulation library core in Java.

HASH  Graph and agent simulation platform.
Proprietary
Other Resources
Books

Wiener, N. (2016). Cybernetics or control and communication in the animal and the machine.  The book introduced the term cybernetics to describe a selfregulation mechanism.

Scheffer, M. (2009). Critical transitions in nature and society. Princeton, N.J: Princeton University Press.  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.  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.  A comprehensive introduction to network science.

Mitchell, S. D. (2013). Unsimple truths: science, complexity, and policy. Chicago: Univ. of Chicago Press.  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.  The book is an exposition of the nonrepresentational vew of knowledge.

Mandelbrot, B. (2006). The fractal geometry of nature. New York: W.H. Freeman and Company.  Beautiful introduction to the world of fractals.

Kauffman, S. (2014). At Home in the Universe The Search for the Laws of SelfOrganization and Complexity. Cary: Oxford University Press, USA.  The book introduces in an accessible way the influence of concepts such as selforganization and the edge of chaos.

Gros, C. (2015). Complex and adaptive dynamical systems: a primer. Cham: Springer.  Technical and accessible introduction to a number of important concepts in complex systems science.

Downey, A. (2012). Think complexity. Needham, Massachusetts: Green Tea Press.  A handson approach exploring complex systems models with Python.

Boccara, N. (2014). Modeling complex systems. SpringerVerlag New York.  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  Dynamic models on complex networks.