In this book of 589 pages the authors aim to introduce in the literature a novel and rigorous contribution to modern Complexity Theory. It is designed to be a graduate-level monograph. The book’s content is divided into 11 chapters. Chapter 1: Introduction. Chapter 2: Local Geometrical Machinery for Complexity and Control. Chapter 3: Global Categorical Framework for Complexity and Control. Chapter 4: Dynamics of Crowd Behaviors: from complex plane to quantum random fields. Chapter 5: Hierarchical Self-Similarity in Group and Crowd Behaviors. Chapter 6: Hybrid Topological Lie-Hamiltonian Learning in Evolving Energy Landscapes. Chapter 7: Complexity and Control in Solitary Conductive PDEs. Chapter 8: Quantum-Computation for Perceptual Control Architecture. Chapter 9: Complexity and Control in Entropic and Stochastic Self-Organization. Chapter 10: Crash Simulator: Brain-and-Spine Injury Mechanisms. Chapter 11: Conclusion.
The book’s content is written in an appealing manner without useless complications. Codes from Mathematica are used in the book. I recommend the book for students and researchers interested in studying complex systems.