This page serves as a repository for my ongoing exploration of complexity science, where I share notes and reflections as I delve deeper into the subject.
I also write a regularly updated complexity learning journal (avail upon request), the purpose of which is to document my thoughts as I explore this field. Here is my evolving reading list.
Curriculum / Resources I am using (expanding)
Complexity: A Very Short Introduction (John H. Holland)
Complexity: A Guided Tour (Melanie Mitchell)
Chaos: Making a New Science (James Gleick)
Introduction to Complexity [Santa Fe Institute]
Complexity: The Emerging Science at the Edge of Order and Chaos (Mitchell M. Waldrop)
Worlds Hidden in Plain Sight (David C. Krakauer)
NASA on Systems Complexity
A frugal way to study complex systems (Stanford)
Writing & Thoughts
The Axolotl Effect
living indicators in complex systems
From Physics Envy to Biology Envy
How biology forced science to evolve from Newtonian to Complexity
The Limit To The Machine Metaphor
Notes on emergence, self-organization, and non-linearity
The Whole Is Greater Than the Sum of Its Parts
On positive deviance & why I study complexity science
AI’s Impact on Human Identity & vice-versa
Notes on Inês Hipólito’s paper deploying complex systems theory for responsible AI
everything listed in this image is of broad interest to me
Things I want to learn about
Genetic algorithms
Self-organization
Non-linear dynamics
Chaos theory
Bifurcations
Fractals
eCognition