Complex and adaptive dynamical systems are ubiquitous, forcing us to continually adapt to new realities. In response, this book presents a wide range of findings in the field of quantitative complex system science that help us understand our complex world. The book's approach is modular and phenomenology driven. Examples of emerging phenomena treated in this book include the small world phenomenon in social and scale-free networks; life at the edge of chaos; the concept of living dynamical systems; and emotional diffusive control within cognitive system theory. Each chapter includes exercises to test the reader's grasp of new material. Solutions to the exercises are provided. Suggestions for further reading guide readers to the primary and secondary literature. Written at an introductory level, the author provides an accessible entry into this fascinating and vitally important subject for graduate students in physics, mathematics, and theoretical computer science.
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