This website was a neat resource. The whole point of complexity science is that there are domains with computational irreducibility where in order to estimate system behaviors we can not rely on formulaic models, in complexity science we instead make use of computer models via simulation to try and approach dynamics.
"It may not be entirely vain, however, to search for common properties among diverse kinds of complex systems... The ideas of feedback and information provide a frame of reference for viewing a wide range of situations."
As potential further reading, one of the cited authors gave a lecture on intersections of AI and complexity science that I captured in this blog post. https://medium.com/from-the-diaries-of-john-henry/making-the...
Also recommend writings of any author affiliated with Santa Fe Institute, a lot of books to choose from.