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Simulating Complex Systems by Cellular Automata - Alfons G. Hoekstra
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Simulating Complex Systems by Cellular Automata - edition reliée, livre de poche

2010, ISBN: 3642122027

[EAN: 9783642122026], Neubuch, [SC: 0.0], [PU: Springer-Verlag Gmbh Jun 2010], AUTOMATENTHEORIE; MATHEMATIK; NATURWISSENSCHAFTEN; WISSENSCHAFT / DYNAMIK (PHYSIKALISCH); MECHANIK; STATIK; … Plus…

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Simulating Complex Systems by Cellular Automata Alfons G. Hoekstra Editor - nouveau livre

ISBN: 9783642122026

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 … Plus…

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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 … Plus…

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Simulating Complex Systems by Cellular Automata - Hoekstra, Alfons G. (Herausgeber); Sloot, Peter M. A. (Herausgeber); Kroc, Jiri (Herausgeber)
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Hoekstra, Alfons G. (Herausgeber); Sloot, Peter M. A. (Herausgeber); Kroc, Jiri (Herausgeber):
Simulating Complex Systems by Cellular Automata - edition reliée, livre de poche

2010, ISBN: 3642122027

2010 Gebundene Ausgabe Automatentheorie, Numerische Mathematik, Mathematische Physik, Computermodellierung und -simulation, Künstliche Intelligenz, Dynamics; Software; Behavior; complex… Plus…

Frais d'envoiVersandkostenfrei innerhalb der BRD. (EUR 0.00) MARZIES.de Buch- und Medienhandel, 14621 Schönwalde-Glien
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Simulating Complex Systems by Cellular Automata - Hoekstra, Alfons G. (Herausgeber); Sloot, Peter M. A. (Herausgeber); Kroc, Jiri (Herausgeber)
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Hoekstra, Alfons G. (Herausgeber); Sloot, Peter M. A. (Herausgeber); Kroc, Jiri (Herausgeber):
Simulating Complex Systems by Cellular Automata - edition reliée, livre de poche

2010, ISBN: 3642122027

2010 Gebundene Ausgabe Automatentheorie, Numerische Mathematik, Mathematische Physik, Computermodellierung und -simulation, Künstliche Intelligenz, Dynamics; Software; Behavior; complex… Plus…

Frais d'envoiVersandkostenfrei innerhalb der BRD. (EUR 0.00) MARZIES.de Buch- und Medienhandel, 14621 Schönwalde-Glien

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Simulating Complex Systems by Cellular Automata Alfons G. Hoekstra Editor

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.

Informations détaillées sur le livre - Simulating Complex Systems by Cellular Automata Alfons G. Hoekstra Editor


EAN (ISBN-13): 9783642122026
ISBN (ISBN-10): 3642122027
Version reliée
Date de parution: 2010
Editeur: Springer Berlin Heidelberg Core >2 >T
384 Pages
Poids: 0,811 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2008-10-31T02:23:48+01:00 (Zurich)
Page de détail modifiée en dernier sur 2024-03-31T10:32:22+02:00 (Zurich)
ISBN/EAN: 3642122027

ISBN - Autres types d'écriture:
3-642-12202-7, 978-3-642-12202-6
Autres types d'écriture et termes associés:
Auteur du livre: hoek, peter, hoekstra, kroc
Titre du livre: cellular automata, auto, system, complex systems


Données de l'éditeur

Auteur: Alfons G. Hoekstra; Jiri Kroc; Peter M.A. Sloot
Titre: Understanding Complex Systems; Simulating Complex Systems by Cellular Automata
Editeur: Springer; Springer Berlin
384 Pages
Date de parution: 2010-06-13
Berlin; Heidelberg; DE
Imprimé / Fabriqué en
Langue: Anglais
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XXII, 384 p.

BB; Hardcover, Softcover / Informatik, EDV/Anwendungs-Software; Computermodellierung und -simulation; Verstehen; Dynamics; Software; automata; behavior; complexity; computer science; environment; evolution; mathematics; model; modeling; physics; problem solving; quality; simulation; Computer Modelling; Complex Systems; Computational Science and Engineering; Computational Intelligence; Theoretical, Mathematical and Computational Physics; Kybernetik und Systemtheorie; Numerische Mathematik; Künstliche Intelligenz; Mathematische Physik; BC

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.
A well balance and up-to-date introduction to both foundations and applications Edited and authored by leading researchers in the field Excellent starting point for own research for newcomers to the field Includes supplementary material: sn.pub/extras

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