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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.

Cellular automata --- Engineering & Applied Sciences --- Mathematics --- Physical Sciences & Mathematics --- Computer Science --- Algebra --- Cellular automata. --- Computers, Iterative circuit --- Iterative circuit computers --- Structures, Tessellation (Automata) --- Tessellation structures (Automata) --- Computer science. --- Computer simulation. --- System theory. --- Computer mathematics. --- Computational intelligence. --- Computer Science. --- Simulation and Modeling. --- Complex Systems. --- Computational Science and Engineering. --- Computational Intelligence. --- Statistical Physics and Dynamical Systems. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Systems, Theory of --- Systems science --- Science --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Informatics --- Philosophy --- Parallel processing (Electronic computers) --- Pattern recognition systems --- Sequential machine theory --- Engineering. --- Statistical physics. --- Construction --- Industrial arts --- Technology --- Physics --- Mathematical statistics --- Statistical methods --- Dynamical systems. --- Dynamical systems --- Kinetics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Statics --- Mathematical physics. --- Computer Modelling. --- Theoretical, Mathematical and Computational Physics. --- Data processing. --- Physical mathematics

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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.

Discrete mathematics --- Mathematical statistics --- Mathematics --- Classical mechanics. Field theory --- Statistical physics --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- neuronale netwerken --- fuzzy logic --- cybernetica --- grafentheorie --- vormgeving --- computers --- informatica --- statistiek --- mineralen (chemie) --- simulaties --- mijnbouw --- informaticaonderzoek --- KI (kunstmatige intelligentie) --- fysica --- dynamica

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Computational grids (Computer systems)

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Computers. --- Algorithms. --- Computer simulation. --- Computer communication systems. --- Bioinformatics. --- Computation by Abstract Devices. --- Algorithm Analysis and Problem Complexity. --- Simulation and Modeling. --- Computer Communication Networks. --- Computer networks.