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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.
This book investigates the quantitative methodologies required to analyze, model, and predict the behavior of complex adaptive systems. The authors, Peter Klimek, Rudolf Hanel, and Stefan Thurner, leverage their expertise in statistical physics and network science to provide a rigorous framework for understanding systems characterized by strong interactions and co-evolutionary dynamics. By synthesizing two decades of methodological advancements, the text establishes a formal mathematical foundation for examining phenomena ranging from financial markets to ecological networks.
What You Will Find
Scope Limits
Experts identify this text as a modern, comprehensive resource for students and researchers entering the field of complex systems. Readers frequently note the technical density of the prose, which serves as a structured guide for those seeking to apply quantitative tools to real-world adaptive systems.
Page Count:
448
Publication Date:
2018-01-01
Publisher:
OUP Oxford
ISBN-10:
0192555073
ISBN-13:
9780192555076
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