Complexity And Evolution Of Dissipative Systems
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| Author | : Sergey Vakulenko |
| Publisher | : Walter de Gruyter |
| Total Pages | : 316 |
| Release | : 2013-11-27 |
| Genre | : Mathematics |
| ISBN | : 3110268280 |
This book focuses on the dynamic complexity of neural, genetic networks, and reaction diffusion systems. The author shows that all robust attractors can be realized in dynamics of such systems. In particular, a positive solution of the Ruelle-Takens hypothesis for on chaos existence for large class of reaction-diffusion systems is given. The book considers viability problems for such systems - viability under extreme random perturbations - and discusses an interesting hypothesis of M. Gromov and A. Carbone on biological evolution. There appears a connection with the Kolmogorov complexity theory. As applications, transcription-factors-microRNA networks are considered, patterning in biology, a new approach to estimate the computational power of neural and genetic networks, social and economical networks, and a connection with the hard combinatorial problems.
| Author | : Klaus Mainzer |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 466 |
| Release | : 2013-03-09 |
| Genre | : Science |
| ISBN | : 3662053640 |
This new edition also treats smart materials and artificial life. A new chapter on information and computational dynamics takes up many recent discussions in the community.
| Author | : L.M. Pismen |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 383 |
| Release | : 2006-07-07 |
| Genre | : Science |
| ISBN | : 3540304312 |
Spontaneous pattern formation in nonlinear dissipative systems far from equilibrium occurs in a variety of settings in nature and technology, and has applications ranging from nonlinear optics through solid and fluid mechanics, physical chemistry and chemical engineering to biology. This book explores the forefront of current research, describing in-depth the analytical methods that elucidate the complex evolution of nonlinear dissipative systems.
| Author | : Gregoire Nicolis |
| Publisher | : Wiley-VCH |
| Total Pages | : 520 |
| Release | : 1977-05-13 |
| Genre | : Reference |
| ISBN | : |
Membranes, Dissipative Structures, and Evolution Edited by G. Nicolis & R. Lefever Focuses on the problem of the emergence/maintenance of biological order at successively higher levels of complexity. Covers the spatiotemporal organization of simple biochemical networks; the formation of pluricellular or macromolecular assemblies; the evolution of these structures; and the functions of specific biological structures. Volume 29 in Advances in Chemical Physics Series, I. Prigogine & Stuart A. Rice, Editors. 1975 Theory and Applications of Molecular Paramagnetism Edited by E. A. Boudreaux & L. N. Mulay Comprehensively treats the basic theory of paramagnetic phenomena from both the classical and mechanical vantages. It examines the magnetic behavior of Lanthanide and Actinide elements as well as traditional transition metals. For each class of compounds, appropriate details of descriptive and mathematical theory are given before their applications. 1976 Theory and Aapplications of Molecular Diamagnetism Edited by L. N. Mulay & E. A. Boudreaux An invaluable reference for solving chemical problems in magnetics, magnetochemistry, and related areas where magnetic data are important, such as solid-state physics and optical spectroscopy. 1976
| Author | : Valeria V. Krzhizhanovskaya |
| Publisher | : Springer Nature |
| Total Pages | : 682 |
| Release | : 2020-06-19 |
| Genre | : Computers |
| ISBN | : 3030504239 |
The seven-volume set LNCS 12137, 12138, 12139, 12140, 12141, 12142, and 12143 constitutes the proceedings of the 20th International Conference on Computational Science, ICCS 2020, held in Amsterdam, The Netherlands, in June 2020.* The total of 101 papers and 248 workshop papers presented in this book set were carefully reviewed and selected from 719 submissions (230 submissions to the main track and 489 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Biomedical and Bioinformatics Challenges for Computer Science Part IV: Classifier Learning from Difficult Data; Complex Social Systems through the Lens of Computational Science; Computational Health; Computational Methods for Emerging Problems in (Dis-)Information Analysis Part V: Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems; Computer Graphics, Image Processing and Artificial Intelligence Part VI: Data Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; Meshfree Methods in Computational Sciences; Multiscale Modelling and Simulation; Quantum Computing Workshop Part VII: Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainties; Teaching Computational Science; UNcErtainty QUantIficatiOn for ComputationAl modeLs *The conference was canceled due to the COVID-19 pandemic.
| Author | : David Byrne |
| Publisher | : Taylor & Francis |
| Total Pages | : 258 |
| Release | : 2022-09-26 |
| Genre | : Political Science |
| ISBN | : 1000655504 |
This expanded and updated edition of Complexity Theory and the Social Sciences: The State of the Art revisits the use of complexity theory across the social sciences and demonstrates how complexity informs approaches to various contemporary issues in the context of the COVID-19 pandemic, widening social inequality, and impending social and ecological catastrophe wrought by global warming. The book reviews complexity theory in the practice of the social sciences and at their interface with ecological science. It outlines how social theory can be reconciled with complexity thinking and presents a review of the way research can be done using complexity theory. The book suggests how complexity theory can be used to understand and evaluate governance processes, particularly with regard to social inequality and the climate crisis. The impact of the COVID-19 pandemic is also examined through a complexity lens, reviewing how complexity thinking has been employed in relation to the pandemic and how implementing a complexity framework can transform health and social care. The book concludes with a call to action and the use of complexity theory to inform critical thinking in the education system. This textbook will be immensely useful to students and researchers interested in social research methods, social theory, business and organization studies, health, education, urban studies, and development studies.
| Author | : Frank Schweitzer |
| Publisher | : CRC Press |
| Total Pages | : 624 |
| Release | : 1997-07-16 |
| Genre | : Computers |
| ISBN | : 9789056990275 |
During the past twenty years, a broad spectrum of theories and methods have been developed in physics, chemistry and molecular biology to explain structure formation in complex systems. These methods have been applied to many different fields such as economics, sociology and town planning, and this book reflects the interdisciplinary nature of complexity and self-organisation. The main focus is on the emergence of collective phenomena from individual or microscopic interactions. Presents a wide-ranging overview from fundamental aspects of the evolution of complexity, to applications in biology, ecology, sociology, economics, and urban structure formation.
| Author | : Erik Mosekilde |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 417 |
| Release | : 2013-03-08 |
| Genre | : Science |
| ISBN | : 1468478478 |
From time to time, perhaps a few times each century, a revolution occurs that questions some of our basic beliefs and sweeps across otherwise well guarded disciplinary boundaries. These are the periods when science is fun, when new paradigms have to be formulated, and when young scientists can do serious work without first having to acquire all the knowledge of their teachers. The emergence of nonlinear science appears to be one such revolution. In a surprising manner, this new science has disclosed a number of misconceptions in our traditional understanding of determinism. In particular, it has been shown that the notion of predictability, according to which the trajectory of a system can be precisely determined if one knows the equations of motion and the initial conditions, is related to textbook examples of simple; integrable systems. This predictability does not extend to nonlinear, conservative systems in general. Dissipative systems can also show unpredictability, provided that the motion is sustained by externally supplied energy and/or resources. These discoveries, and the associated discovery that even relatively simple nonlinear systems can show extremely complex behavior, have brought about an unprecedented feeling of common interest among scientists from many different disciplines. During the last decade or two we have come to understand that there are universal routes to chaos, we have learned about stretching and folding, and we have discovered the beautiful fractal geometry underlying chaotic attractors.
| Author | : Ron A. Boschma |
| Publisher | : Edward Elgar Publishing |
| Total Pages | : 559 |
| Release | : 2010 |
| Genre | : Business & Economics |
| ISBN | : 1847204910 |
This wide-ranging handbook studies and defines the paradigm of evolutionary economic geography. The distinguished contributors highlight the key conceptual, theoretical and empirical advances, and present a clear statement of their aims, objectives and methods.
| Author | : L. Douglas Kiel |
| Publisher | : University of Michigan Press |
| Total Pages | : 358 |
| Release | : 2009-11-10 |
| Genre | : Political Science |
| ISBN | : 0472022520 |
Chaos Theory in the Social Sciences: Foundations and Applications offers the most recent thinking in applying the chaos paradigm to the social sciences. The book explores the methodological techniques--and their difficulties--for determining whether chaotic processes may in fact exist in a particular instance and examines implications of chaos theory when applied specifically to political science, economics, and sociology. The contributors to the book show that no single technique can be used to diagnose and describe all chaotic processes and identify the strengths and limitations of a variety of approaches. The essays in this volume consider the application of chaos theory to such diverse phenomena as public opinion, the behavior of states in the international arena, the development of rational economic expectations, and long waves. Contributors include Brian J. L. Berry, Thad Brown, Kenyon B. DeGreene, Dimitrios Dendrinos, Euel Elliott, David Harvey, L. Ted Jaditz, Douglas Kiel, Heja Kim, Michael McBurnett, Michael Reed, Diana Richards, J. Barkley Rosser, Jr., and Alvin M. Saperstein. L. Douglas Kiel and Euel W. Elliott are both Associate Professors of Government, Politics, and Political Economy, University of Texas at Dallas.
