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121 Haken, Hermann Information and Self-Organization I06507 2006 eBook  
122 D'Agostino, Gregorio Networks of Networks: The Last Frontier of Complexity I06397 2014 eBook  
123 Lowenstein, John H Pseudochaotic Kicked Oscillators I06214 2012 eBook  
124 Cristelli, Matthieu Complexity in Financial Markets I06187 2014 eBook  
125 Abarbanel, Henry Predicting the Future I06173 2013 eBook  
126 Stavrinides, Stavros G Chaos and Complex Systems I06136 2013 eBook  
127 Frederic Abergel (ed.) Econophysics and Data Driven Modelling of Market Dynamics I06087 2015 eBook  
128 Rosin, David P Dynamics of Complex Autonomous Boolean Networks I06086 2015 eBook  
129 Alexander N Gorban (ed.) Model Reduction and Coarse-Graining Approaches for Multiscale Phenomena I06053 2006 eBook  
130 Bolotin, Yurii Chaos: Concepts, Control and Constructive Use I06034 2009 eBook  
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121.    
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TitleInformation and Self-Organization : A Macroscopic Approach to Complex Systems
Author(s)Haken, Hermann
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2006.
DescriptionXIV, 258 p : online resource
Abstract NoteThis book presents the concepts needed to deal with self-organizing complex systems from a unifying point of view that uses macroscopic data. The various meanings of the concept "information" are discussed and a general formulation of the maximum information (entropy) principle is used. With the aid of results from synergetics, adequate objective constraints for a large class of self-organizing systems are formulated and examples are given from physics, life and computer science. The relationship to chaos theory is examined and it is further shown that, based on possibly scarce and noisy data, unbiased guesses about processes of complex systems can be made and the underlying deterministic and random forces determined. This allows for probabilistic predictions of processes, with applications to numerous fields in science, technology, medicine and economics. The extensions of the third edition are essentially devoted to an introduction to the meaning of information in the quantum context. Indeed, quantum information science and technology is presently one of the most active fields of research at the interface of physics, technology and information sciences and has already established itself as one of the major future technologies for processing and communicating information on any scale. This book addresses graduate students and nonspecialist researchers wishing to get acquainted with the concept of information from a scientific perspective in more depth. It is suitable as a textbook for advanced courses or for self-study
ISBN,Price9783540330233
Keyword(s)1. Biological and Medical Physics, Biophysics 2. BIOLOGICAL PHYSICS 3. BIOPHYSICS 4. COMPLEX SYSTEMS 5. CONDENSED MATTER 6. CONDENSED MATTER PHYSICS 7. Data structures (Computer science) 8. Data Structures and Information Theory 9. DYNAMICAL SYSTEMS 10. EBOOK 11. EBOOK - SPRINGER 12. Neurosciences 13. STATISTICAL PHYSICS 14. SYSTEM THEORY 15. Systems Theory, Control
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122.     
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TitleNetworks of Networks: The Last Frontier of Complexity
Author(s)D'Agostino, Gregorio;Scala, Antonio
PublicationCham, Springer International Publishing, 2014.
DescriptionXII, 340 p. 147 illus., 126 illus. in color : online resource
Abstract NoteThe present work is meant as a reference to provide an organic and comprehensive view of the most relevant results in the exciting new field of Networks of Networks (NetoNets). Seminal papers have recently been published posing the basis to study what happens when different networks interact, thus providing evidence for the emergence of new, unexpected behaviors and vulnerabilities. From those seminal works, the awareness on the importance understanding Networks of Networks (NetoNets) has spread to the entire community of Complexity Science. The reader will benefit from the experience of some of the most well-recognized leaders in this field. The contents have been aggregated under four headings; General Theory, Phenomenology, Applications and Risk Assessment. The reader will be impressed by the different applications of the general paradigm that span from physiology, to financial risk, to transports. We are currently making the first steps to reduce the distance between the language and the way of thinking of the two communities of experts in real infrastructures and the complexity scientists. Although this path may prove to be long, it is extremely promising, both in extending our understanding of complex systems and in finding concrete applications that can enhance the life quality of millions of people
ISBN,Price9783319035185
Keyword(s)1. Applications of Graph Theory and Complex Networks 2. COMPLEX SYSTEMS 3. COMPLEXITY 4. COMPUTATIONAL COMPLEXITY 5. EBOOK 6. EBOOK - SPRINGER 7. ECONOMIC THEORY 8. Economic Theory/Quantitative Economics/Mathematical Methods 9. PHYSICS 10. SYSTEM THEORY
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123.     
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TitlePseudochaotic Kicked Oscillators : Renormalization, Symbolic Dynamics, and Transport
Author(s)Lowenstein, John H
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2012.
DescriptionXII, 215 p. 125 illus., 22 illus. in color : online resource
Abstract Note"Pseudochaotic Kicked Oscillators: Renormalization, Symbolic Dynamics, and Transport" presents recent developments in pseudochaos, which is concerned with complex branching behaviors of dynamical systems at the interface between orderly and chaotic motion. Pseudochaos is characterized by the trapping of orbits in the vicinity of self-similar hierarchies of islands of stability, producing phase-space displacements which increase asymptotically as a power of time. This monograph is a thorough, self-contained investigation of a simple one-dimensional model (a kicked harmonic oscillator) which exhibits pseudochaos in its purest form. It is intended for graduate students and researchers in physics and applied mathematics, as well as specialists in nonlinear dynamics. ?? Dr. John H. Lowenstein is a Professor Emeritus in the Department of Physics at New York University, USA
ISBN,Price9783642281549
Keyword(s)1. Applications of Mathematics 2. Applications of Nonlinear Dynamics and Chaos Theory 3. APPLIED MATHEMATICS 4. EBOOK 5. EBOOK - SPRINGER 6. ENGINEERING MATHEMATICS 7. Mathematical Methods in Physics 8. PHYSICS 9. STATISTICAL PHYSICS 10. SYSTEM THEORY 11. Systems Theory, Control
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124.     
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TitleComplexity in Financial Markets : Modeling Psychological Behavior in Agent-Based Models and Order Book Models
Author(s)Cristelli, Matthieu
PublicationCham, Springer International Publishing, 2014.
DescriptionXIX, 216 p : online resource
Abstract NoteTools and methods from complex systems science can have a considerable impact on the way in which the quantitative assessment of economic and financial issues is approached, as discussed in this thesis. First????it is shown??that the self-organization of financial markets is a crucial factor in the understanding of their dynamics. In fact, using an agent-based approach, it is argued that financial markets??? stylized facts appear only in the self-organized state. Secondly, the thesis points out the potential of so-called big data science for financial market modeling, investigating how web-driven data can??yield a picture of??market activities:?? it has been found that web query volumes anticipate trade volumes. As a third achievement, the metrics developed here??for country competitiveness and product complexity is groundbreaking in??comparison to mainstream theories of economic growth and technological development. A key element in assessing the intangible variables determining the success of countries in the present globalized economy is represented by the diversification of the productive basket of countries. The comparison between the level of complexity of a country's productive system?? and economic indicators such as the GDP per capita discloses its hidden growth potential
ISBN,Price9783319007236
Keyword(s)1. COMPLEX SYSTEMS 2. DATA MINING 3. Data Mining and Knowledge Discovery 4. Data-driven Science, Modeling and Theory Building 5. EBOOK 6. EBOOK - SPRINGER 7. ECONOMIC THEORY 8. Economic Theory/Quantitative Economics/Mathematical Methods 9. ECONOPHYSICS 10. GAME THEORY 11. Game Theory, Economics, Social and Behav. Sciences 12. Sociophysics 13. SYSTEM THEORY
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125.     
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TitlePredicting the Future : Completing Models of Observed Complex Systems
Author(s)Abarbanel, Henry
PublicationNew York, NY, Springer New York, 2013.
DescriptionXVI, 238 p. 97 illus., 91 illus. in color : online resource
Abstract NotePredicting the Future: Completing Models of Observed Complex Systems provides a general framework for the discussion of model building and validation across a broad spectrum of disciplines. This is accomplished through the development of an exact path integral for use in transferring information from observations to a model of the observed system. Through many illustrative examples drawn from models in neuroscience, fluid dynamics, geosciences, and nonlinear electrical circuits, the concepts are exemplified in detail. Practical numerical methods for approximate evaluations of the path integral are explored, and their use in designing experiments and determining a model's consistency with observations is investigated. Using highly instructive examples, the problems of data assimilation and the means to treat them are clearly illustrated. This book will be useful for students and practitioners of physics, neuroscience, regulatory networks, meteorology and climate science, network dynamics, fluid dynamics, and other systematic investigations of complex systems
ISBN,Price9781461472186
Keyword(s)1. COMPLEX SYSTEMS 2. COMPUTER SIMULATION 3. DYNAMICAL SYSTEMS 4. EBOOK 5. EBOOK - SPRINGER 6. Neurosciences 7. Numerical and Computational Physics, Simulation 8. PHYSICS 9. Simulation and Modeling 10. STATISTICAL PHYSICS 11. Statistical Physics and Dynamical Systems 12. SYSTEM THEORY
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126.     
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TitleChaos and Complex Systems : Proceedings of the 4th International Interdisciplinary Chaos Symposium
Author(s)Stavrinides, Stavros G;Banerjee, Santo;Caglar, Suleyman Hikmet;Ozer, Mehmet
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2013.
DescriptionDLXXXI, 15 p. 236 illus : online resource
Abstract NoteComplexity Science and Chaos Theory are fascinating areas of scientific research with wide-ranging applications. ??The interdisciplinary nature and ubiquity of complexity and chaos are features that provides scientists with a motivation to pursue general theoretical tools and frameworks. Complex systems give rise to emergent behaviors, which in turn produce novel and interesting phenomena in science, engineering, as well as in the socio-economic sciences. The aim of all Symposia on Chaos and Complex Systems (CCS) is to bring together scientists, engineers, economists and social scientists, and to discuss the latest insights and results obtained in the area of corresponding nonlinear-system complex (chaotic) behavior. Especially for the ???4th International Interdisciplinary Chaos Symposium on Chaos and Complex Systems,??? which took place April 29th to May 2nd, 2012 in Antalya, Turkey, the scope of the symposium had been further enlarged so as to encompass the presentation of work from circuits to econophysics, and from nonlinear analysis to the history of chaos theory. ???? The corresponding proceedings collected in this volume address a broad spectrum of contemporary topics, including but not limited to networks, circuits, systems, biology, evolution and ecology, nonlinear dynamics and pattern formation, as well as neural, psychological, psycho-social, socio-economic, management complexity and global systems
ISBN,Price9783642339141
Keyword(s)1. COMPLEX SYSTEMS 2. COMPLEXITY 3. COMPUTATIONAL COMPLEXITY 4. DYNAMICAL SYSTEMS 5. EBOOK 6. EBOOK - SPRINGER 7. STATISTICAL PHYSICS 8. Statistical Physics and Dynamical Systems 9. SYSTEM THEORY
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127.     
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TitleEconophysics and Data Driven Modelling of Market Dynamics
Author(s)Frederic Abergel (ed.);Hideaki Aoyama (ed.);Bikas K. Chakrabarti (ed.);Anirban Chakraborti (ed.);Ghosh, Asim
PublicationCham, Springer International Publishing, 2015.
DescriptionXIII, 353 p. 116 illus : online resource
Abstract NoteThis book presents the works and research findings of physicists, economists, mathematicians, statisticians, and financial engineers who have undertaken data-driven modelling of market dynamics and other empirical studies in the field of Econophysics. During recent decades, the financial market landscape has changed dramatically with the deregulation of markets and the growing complexity of products. The ever-increasing speed and decreasing costs of computational power and networks have led to the emergence of huge databases. The availability of these data should permit the development of models that are better founded empirically, and econophysicists have accordingly been advocating that one should rely primarily on the empirical observations in order to construct models and validate them. The recent turmoil in financial markets and the 2008 crash appear to offer a strong rationale for new models and approaches. The Econophysics community accordingly has an important future role to play in market modelling. The Econophys-Kolkata VIII conference proceedings are devoted to the presentation of many such modelling efforts and address recent developments. A number of leading researchers from across the globe report on their recent work, comment on the latest issues, and review the contemporary literature
ISBN,Price9783319084732
Keyword(s)1. COMPLEX SYSTEMS 2. COMPLEXITY 3. COMPUTATIONAL COMPLEXITY 4. Data-driven Science, Modeling and Theory Building 5. EBOOK 6. EBOOK - SPRINGER 7. ECONOMIC THEORY 8. Economic Theory/Quantitative Economics/Mathematical Methods 9. ECONOPHYSICS 10. GAME THEORY 11. Game Theory, Economics, Social and Behav. Sciences 12. Sociophysics 13. SYSTEM THEORY
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128.     
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TitleDynamics of Complex Autonomous Boolean Networks
Author(s)Rosin, David P
PublicationCham, Springer International Publishing, 2015.
DescriptionXX, 199 p. 88 illus., 9 illus. in color : online resource
Abstract NoteThis thesis focuses on the dynamics of autonomous Boolean networks, on the basis of Boolean logic functions in continuous time without external clocking. These networks are realized with integrated circuits on an electronic chip as a field programmable gate array (FPGA) with roughly 100,000 logic gates, offering an extremely flexible model system. It allows fast and cheap design cycles and large networks with arbitrary topologies and coupling delays. The??author presents pioneering results on theoretical modeling, experimental realization, and selected applications.?? In this regard, three classes of novel dynamic behavior are investigated: (i) Chaotic Boolean networks are proposed as high-speed physical random number generators with high bit rates. (ii) Networks of periodic Boolean oscillators are home to long-living transient chimera states, i.e., novel patterns of coexisting domains of spatially coherent (synchronized) and incoherent (desynchronized) dynamics. (iii) Excitable networks exhibit cluster synchronization and can be used as fast artificial Boolean neurons whose spiking patterns can be controlled. This work presents??the first??experimental platform for large complex networks, which will facilitate exciting??future developments
ISBN,Price9783319135786
Keyword(s)1. Applications of Graph Theory and Complex Networks 2. COMPLEX SYSTEMS 3. COMPLEXITY 4. COMPUTATIONAL COMPLEXITY 5. Dynamical Systems and Ergodic Theory 6. DYNAMICS 7. EBOOK 8. EBOOK - SPRINGER 9. ELECTRONIC CIRCUITS 10. Electronic Circuits and Devices 11. ERGODIC THEORY 12. PHYSICS 13. SYSTEM THEORY
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129.     
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TitleModel Reduction and Coarse-Graining Approaches for Multiscale Phenomena
Author(s)Alexander N Gorban (ed.);Nikolas Kazantzis (ed.);I. G. Kevrekidis (ed.);Hans Christian Ottinger (ed.);Theodoropoulos, Konstantinos
PublicationBerlin, Springer Berlin Heidelberg, 2006.
DescriptionXI, 560 p : online resource
Abstract NoteModel reduction and coarse-graining are important in many areas of science and engineering. How does a system with many degrees of freedom become one with fewer? How can a reversible micro-description be adapted to the dissipative macroscopic model? These crucial questions, as well as many other related problems, are discussed in this book. Specific areas of study include dynamical systems, non-equilibrium statistical mechanics, kinetic theory, hydrodynamics and mechanics of continuous media, (bio)chemical kinetics, nonlinear dynamics, nonlinear control, nonlinear estimation, and particulate systems from various branches of engineering. The generic nature and the power of the pertinent conceptual, analytical and computational frameworks helps eliminate some of the traditional language barriers, which often unnecessarily impede scientific progress and the interaction of researchers between disciplines such as physics, chemistry, biology, applied mathematics and engineering. All contributions are authored by experts, whose specialities span a wide range of fields within science and engineering
ISBN,Price9783540358886
Keyword(s)1. Chemometrics 2. COMPLEX SYSTEMS 3. DYNAMICAL SYSTEMS 4. EBOOK 5. EBOOK - SPRINGER 6. ENGINEERING 7. Engineering, general 8. Math. Applications in Chemistry 9. MATHEMATICAL PHYSICS 10. STATISTICAL PHYSICS 11. Statistical Physics and Dynamical Systems 12. SYSTEM THEORY 13. Systems Theory, Control 14. Theoretical, Mathematical and Computational Physics
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130.    
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TitleChaos: Concepts, Control and Constructive Use
Author(s)Bolotin, Yurii;Tur, Anatoli;Yanovsky, Vladimir
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2009.
DescriptionVIII, 198 p. 90 illus : online resource
Abstract NoteThe study of chaotic behaviour in nonlinear, dynamical systems is now a well established research domain with ramifications into all fields of sciences, spanning a vast range of applications, from celestial mechanics, via climate change, to the functioning of brownian motors in cells. A more recent discovery is that chaos can be controlled and, under appropriate conditions, can actually be constructive in the sense of becoming a control parameter itself for the system under investigation, stochastic resonance being a prime example. The present work is putting emphasis on the latter aspects, and after recalling the paradigm changes introduced by the concept of chaos, leads the reader skillfully through the basics of chaos control by detailing relevant algorithms for both Hamiltonian and dissipative systems amongst others. The main part of the book is then devoted to the issue of synchronization in chaotic systems, an introduction to stochastic resonance and a survey of ratchet models. This short and concise primer is particularly suitable for postgraduate students and non-specialist scientists from related areas, wishing to enter the field quickly and efficiently
ISBN,Price9783642009372
Keyword(s)1. COMPLEX SYSTEMS 2. COMPLEXITY 3. COMPUTATIONAL COMPLEXITY 4. DYNAMICAL SYSTEMS 5. DYNAMICS 6. EBOOK 7. EBOOK - SPRINGER 8. STATISTICAL PHYSICS 9. Statistical Physics and Dynamical Systems 10. SYSTEM THEORY 11. Systems Theory, Control 12. VIBRATION 13. Vibration, Dynamical Systems, Control
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