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This book tackles the challenging question which mathematical formalisms and possibly new physical notions should be developed for quantitatively describing human cognition and behavior, in addition to the ones already developed in the physical and cognitive sciences. Indeed, physics is widely used in modeling social systems, where, in particular, new branches of science such as sociophysics and econophysics have arisen. However, many if not most characteristic features of humans like willingness, emotions, memory, future prediction, and moral norms, to name but a few, are not yet properly reflected in the paradigms of physical thought and theory. The choice of a relevant formalism for modeling mental phenomena requires the comprehension of the general philosophical questions related to the mind-body problem. Plausible answers to these questions are investigated and reviewed, notions and concepts to be used or to be taken into account are developed and some challenging questions are posed as open problems. This text addresses theoretical physicists and neuroscientists modeling any systems and processes where human factors play a crucial role, philosophers interested in applying philosophical concepts to the construction of mathematical models, and the mathematically oriented psychologists and sociologists, whose research is fundamentally related to modeling mental processes.
Physics. --- Philosophy of mind. --- Neural networks (Computer science). --- Cognitive psychology. --- Data-driven Science, Modeling and Theory Building. --- Mathematical Models of Cognitive Processes and Neural Networks. --- Cognitive Psychology. --- Philosophy of Mind. --- Mathematical Methods in Physics. --- Psychology, Cognitive --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Mind, Philosophy of --- Mind, Theory of --- Theory of mind --- Natural philosophy --- Philosophy, Natural --- Consciousness. --- Mathematical physics. --- Philosophy --- Cognitive science --- Metaphysics --- Philosophical anthropology --- Physical mathematics --- Physics --- Apperception --- Mind and body --- Perception --- Psychology --- Spirit --- Self --- Mathematics --- Econophysics. --- Neural networks (Computer science) --- Artificial intelligence --- Natural computation --- Soft computing --- Economics --- Statistical physics --- Statistical methods --- Sociophysics. --- Neural networks (Computer science) . --- Physical sciences --- Dynamics --- Mathematical sociology
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Gathering the proceedings of the 11th CHAOS2018 International Conference, this book highlights recent developments in nonlinear, dynamical and complex systems. The conference was intended to provide an essential forum for Scientists and Engineers to exchange ideas, methods, and techniques in the field of Nonlinear Dynamics, Chaos, Fractals and their applications in General Science and the Engineering Sciences. The respective chapters address key methods, empirical data and computer techniques, as well as major theoretical advances in the applied nonlinear field. Beyond showcasing the state of the art, the book will help academic and industrial researchers alike apply chaotic theory in their studies. .
Chaotic behavior in systems --- Computer simulation. --- Engineering. --- Technology. --- Mathematics. --- Complex Systems. --- Simulation and Modeling. --- Complexity. --- Applied Science, multidisciplinary. --- Game Theory, Economics, Social and Behav. Sciences. --- Math --- Science --- Applied science --- Arts, Useful --- Science, Applied --- Useful arts --- Industrial arts --- Material culture --- Construction --- Technology --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Statistical physics. --- Dynamical systems. --- Computational complexity. --- Game theory. --- Games, Theory of --- Theory of games --- Mathematics --- Complexity, Computational --- Electronic data processing --- Machine theory --- Dynamical systems --- Kinetics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Mathematical statistics --- Statistical methods
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