It's getting a bit old, thus the state of the art in some of the chapters moved on. Nonetheless the underlying principles seem solid enough, and thus loads of food for thought, how to apply more of the nonlinear thinking more, and more appropriately.
It brings in examples from loads of other work, though those bits could have used some more explanations (often it looked mostly just a lifted chart without much details and some general handwaving).
In general it's worthwhile, even when it doesn't quite stand on its own (need some basics, and best is to follow up on the interesting parts for more details).
The author is more a philosopher than scientist and after a few chapters with useful overview of chaos theory, nonlinear dynamics he spends a lot of time applying “synergetic approach” to economics, scientific studies, politics, etc. all these “applications” are closer to pseudoscience, unfortunately, as he never explains how “dissipative systems” math is actually applicable to study economic systems and does not suggest any facts confirming that these theories are working there. Forget about any statistical validation, comparing different models, etc.
Вообще очень интересная книга, полезно было освежить то, что я давно читал у Пригожина и Чернавского. Автор пытается касаться современных тем, таких как IT, AI. Но в некоторых местах закапывается в такие подробности, которые лишние в обзорной, в целом, книге.