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This book lays the groundwork for complexity science in human dynamics and evidence-based change methods. It delves into the emergence of organization in complex systems and self-organization. Biosemiotic hybrid networks, crucial in human dynamics, require a multidisciplinary approach. A science of emotions is vital in integrating molecular biology, physiology, biomechanics, language, and social interactions. The embodied plural Self, rooted in core emotions, forms personal identity. Interpersonal physiology sheds light on intersubjective couplings, with pattern formation, ruptures, repairs, and phase transitions marking change dynamics. Pattern recognition and dynamics are vital for understanding human systems' complexity and flux. Patterns are organized in networks that interact in coupling and decoupling through chimera states. Self-organized criticality, dissonance, consonance, entropy fluctuations, and free information drive these transitions. Guided self-organization keeps complex human systems thriving and can readjust disharmonic maladaptive structures. The destination transcends rationalism through relational quantum epistemology.
Neuroscience is the scientific study of the nervous system. This book discusses and presents research on a number of topics in the field of neuroscience, including mind force theory; neural resonance; circle mapping; the generalised spectrum of dimensions; and epileptiform activity in hippocampal neuronal networks.
Presents research on artificial life, cellular automata, chaos theory, cognition, complexity theory, synchronisation, fractals, genetic algorithms, information systems, metaphors, neural networks, non-linear dynamics, parallel computation and synergetics.
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