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Deeply rooted in mathematics and computer science, Cellular Automata (CA) act as an intuitive modeling paradigm for complex systems. This volume provides an up-to-date introduction to Cellular Automata by delving into the underlying theory, applications, and software.
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Deeply rooted in fundamental research in Mathematics and Computer Science, Cellular Automata (CA) are recognized as an intuitive modeling paradigm for Complex Systems. Already very basic CA, with extremely simple micro dynamics such as the Game of Life, show an almost endless display of complex emergent behavior. Conversely, CA can also be designed to produce a desired emergent behavior, using either theoretical methodologies or evolutionary techniques. Meanwhile, beyond the original realm of applications - Physics, Computer Science, and Mathematics – CA have also become work horses in very different disciplines such as epidemiology, immunology, sociology, and finance. In this context of fast and impressive progress, spurred further by the enormous attraction these topics have on students, this book emerges as a welcome overview of the field for its practitioners, as well as a good starting point for detailed study on the graduate and post-graduate level. The book contains three parts, two major parts on theory and applications, and a smaller part on software. The theory part contains fundamental chapters on how to design and/or apply CA for many different areas. In the applications part a number of representative examples of really using CA in a broad range of disciplines is provided - this part will give the reader a good idea of the real strength of this kind of modeling as well as the incentive to apply CA in their own field of study.
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- VerlagSpringer
- Erscheinungsdatum2012
- ISBN 10 3642263674
- ISBN 13 9783642263675
- EinbandTapa blanda
- Anzahl der Seiten408
- HerausgeberHoekstra Alfons G., Kroc Jiri, Sloot Peter M.A.
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Simulating Complex Systems by Cellular Automata
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ISBN 10: 3642263674
ISBN 13: 9783642263675
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Deeply rooted in fundamental research in Mathematics and Computer Science, Cellular Automata (CA) are recognized as an intuitive modeling paradigm for Complex Systems. Already very basic CA, with extremely simple micro dynamics such as the Game of Life, show an almost endless display of complex emergent behavior. Conversely, CA can also be designed to produce a desired emergent behavior, using either theoretical methodologies or evolutionary techniques. Meanwhile, beyond the original realm of applications - Physics, Computer Science, and Mathematics - CA have also become work horses in very different disciplines such as epidemiology, immunology, sociology, and finance.In this context of fast and impressive progress, spurred further by the enormous attraction these topics have on students, this book emerges as a welcome overview of the field for its practitioners, as well as a good starting point for detailed study on the graduate and post-graduate level.The book contains three parts, two major parts on theory and applications, and a smaller part on software. The theory part contains fundamental chapters on how to design and/or apply CA for many different areas. In the applications part a number of representative examples of really using CA in a broad range of disciplines is provided - this part will give the reader a good idea of the real strength of this kind of modeling as well as the incentive to apply CA in their own field of study. Finally, we included a smaller section on software, to highlight the important work that has been done to create high quality problem solving environments that allow to quickly and relatively easily implement a CA model and run simulations, both on the desktop and if needed, on High Performance Computing infrastructures. 408 pp. Englisch. Bestandsnummer des Verkäufers 9783642263675
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Deeply rooted in fundamental research in Mathematics and Computer Science, Cellular Automata (CA) are recognized as an intuitive modeling paradigm for Complex Systems. Already very basic CA, with extremely simple micro dynamics such as the Game of Life, show an almost endless display of complex emergent behavior. Conversely, CA can also be designed to produce a desired emergent behavior, using either theoretical methodologies or evolutionary techniques. Meanwhile, beyond the original realm of applications - Physics, Computer Science, and Mathematics - CA have also become work horses in very different disciplines such as epidemiology, immunology, sociology, and finance.In this context of fast and impressive progress, spurred further by the enormous attraction these topics have on students, this book emerges as a welcome overview of the field for its practitioners, as well as a good starting point for detailed study on the graduate and post-graduate level.The book contains three parts, two major parts on theory and applications, and a smaller part on software. The theory part contains fundamental chapters on how to design and/or apply CA for many different areas. In the applications part a number of representative examples of really using CA in a broad range of disciplines is provided - this part will give the reader a good idea of the real strength of this kind of modeling as well as the incentive to apply CA in their own field of study. Finally, we included a smaller section on software, to highlight the important work that has been done to create high quality problem solving environments that allow to quickly and relatively easily implement a CA model and run simulations, both on the desktop and if needed, on High Performance Computing infrastructures. Bestandsnummer des Verkäufers 9783642263675
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Simulating Complex Systems by Cellular Automata
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ISBN 13: 9783642263675
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Zustand: New. Deeply rooted in mathematics and computer science, Cellular Automata (CA) act as an intuitive modeling paradigm for complex systems. This volume provides an up-to-date introduction to Cellular Automata by delving into the underlying theory, applications, and software. Editor(s): Hoekstra, Alfons G.; Kroc, Jiri; Sloot, Peter M. A. Series: Understanding Complex Systems. Num Pages: 406 pages, biography. BIC Classification: PDE; PHS; UGK; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 21. Weight in Grams: 623. . 2012. Paperback. . . . . Bestandsnummer des Verkäufers V9783642263675
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