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This book explains why complex systems research is important in understanding the structure, function and dynamics of complex natural and social phenomena. It illuminates how complex collective behavior emerges from the parts of a system, due to the interaction between the system and its environment. You will learn the basic concepts and methods of complex system research. It is shown that very different complex phenomena of nature and society can be analyzed and understood by nonlinear dynamics since many systems of very different fields, such as physics, chemistry, biology, economics, psychology and sociology etc. have similar architecture. "Complexity Explained" is not highly technical and mathematical, but teaches and uses the basic mathematical notions of dynamical system theory making the book useful for students of science majors and graduate courses, but it should be readable for a more general audience; actually for those, who ask: What complex systems really are?

Computational Complexity --- Computational complexity. --- Computational complexity --- Complexité de calcul (Informatique) --- EPUB-LIV-FT LIVINGEN SPRINGER-B

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Ergodic theory. Information theory --- Classical mechanics. Field theory --- Engineering sciences. Technology --- Computer science --- analyse (wiskunde) --- informatica --- ingenieurswetenschappen --- dynamica --- informatietheorie

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This volume reviews the theory and simulation methods of stochastic kinetics by integrating historical and recent perspectives, presents applications, mostly in the context of chemical signal processing, gene expression, enzyme kinetics and autocatalytic processes. In recent years, due to the development in experimental techniques such as optical imaging, single cell analysis, and one-molecule fluorescence spectroscopy, biochemical kinetic data inside single living cells have increasingly become available. The emergence of systems biology brought renaissance in the application of stochastic kinetic methods as is reflected in this book.

Chemical kinetics --- Stochastic processes. --- Mathematical models. --- Random processes --- Probabilities --- Chemical reaction, Kinetics of --- Chemical reaction, Rate of --- Chemical reaction, Velocity of --- Chemical reaction rate --- Chemical reaction velocity --- Kinetics, Chemical --- Rate of chemical reaction --- Reaction rate (Chemistry) --- Velocity of chemical reaction --- Chemical affinity --- Reactivity (Chemistry) --- Chemistry --- Biological models. --- Distribution (Probability theory. --- Math. Applications in Chemistry. --- Systems Biology. --- Probability Theory and Stochastic Processes. --- Applications of Nonlinear Dynamics and Chaos Theory. --- Applications of Graph Theory and Complex Networks. --- Mathematics. --- Distribution functions --- Frequency distribution --- Characteristic functions --- Models, Biological --- Chemometrics. --- Systems biology. --- Probabilities. --- Statistical physics. --- Physics. --- Computational biology --- Bioinformatics --- Biological systems --- Molecular biology --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Physics --- Mathematical statistics --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Risk --- Chemistry, Analytic --- Analytical chemistry --- Statistical methods --- Measurement

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Chemical kinetics --- Stochastic processes. --- Mathematical models.

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Neurosciences --- Brain --- Neurophysiology --- Nerve Net --- Nervous System --- Physiology --- Anatomy --- Biological Science Disciplines --- Natural Science Disciplines --- Disciplines and Occupations --- Neuroscience --- Human Anatomy & Physiology --- Health & Biological Sciences --- Natural Sciences --- Physical Sciences --- Discipline, Natural Science --- Disciplines, Natural Science --- Natural Science --- Natural Science Discipline --- Physical Science --- Science, Natural --- Science, Physical --- Sciences, Natural --- Sciences, Physical --- Biologic Sciences --- Biological Science --- Science, Biological --- Sciences, Biological --- Biological Sciences --- Life Sciences --- Biologic Science --- Biological Science Discipline --- Discipline, Biological Science --- Disciplines, Biological Science --- Life Science --- Science Discipline, Biological --- Science Disciplines, Biological --- Science, Biologic --- Science, Life --- Sciences, Biologic --- Sciences, Life --- Anatomies --- Nervous Systems --- System, Nervous --- Systems, Nervous --- Neural Networks (Anatomic) --- Nerve Nets --- Net, Nerve --- Nets, Nerve --- Network, Neural (Anatomic) --- Networks, Neural (Anatomic) --- Neural Network (Anatomic) --- Cerebrum --- Mind --- Central nervous system --- Head --- Neural sciences --- Neurological sciences --- Medical sciences --- Nervous system --- Methodology --- Research --- Occupations