
"This book is a comprehensive introduction to quantitative approaches to complex adaptive systems. Practically all areas of life on this planet are constantly confronted with complex systems, be it ecosystems, societies, traffic, financial markets, opinion formation and spreading, or the internet and social media. Complex systems are systems composed of many elements that interact strongly with each other, which makes them extremely rich dynamical systems showing a huge range of phenomena. Properties of complex systems that are of particular importance are their efficiency, robustness, resilience, and proneness to collapse. The quantitative tools and concepts needed to understand the co-evolutionary nature of networked systems and their properties are challenging. The book gives a self-contained introduction to these concepts, so that the reader will be equipped with a toolset that allows them to engage in the science of complex systems. Topics covered include random processes of path-dependent processes, co-evolutionary dynamics, dynamics of networks, the theory of scaling, and approaches from statistical mechanics and information theory. The book extends beyond the early classical literature in the field of complex systems and summarizes the methodological progress made over the past 20 years in a clear, structured, and comprehensive way"--Publisher's website.
Introduction to the Theory of Complex Systems is an incredible second book on the subject but it wouldn't be fair to compare it to the Gleick book.
I enjoyed How The World Really Works also.
I thought the whole field of Complex Systems was kind of bullshit before this book. IMO we just don't know that much in this area in 2022.
It is just too new and different. I thought it was about fractals or some nonsense before reading this book.
I am currently interested in learning about Complex Systems and the theory that has been developed in the recent decades.
I am reading the excellent book called 'Introduction to the Theory of Complex Systems' (https://www.amazon.de/Introduction-Theory-Complex-Systems-Thurner/dp/019882193X) which rigorously goes through the fundamentals on the theoretical framework.
It is however not very hands-on: I would like to code simulations on the side and get my hands dirty with coding.
I am looking for a course that specifically targets algorithms/frameworks that is used by Complexity Researchers. I know complexity sciences touches many disciplines, but the premise of the book is that there are underlying patterns in all types of complex systems, so a generalist approach would be preferable. (I am not interested in beginner course in coding, for eg.: Nature of Code (https://www.youtube.com/user/shiffman) touches on some algorithms to simulate multi-agent behaviour)
Please point me towards a good source :)