TY - BOOK ID - 94141050 TI - Simulating Complex Systems by Cellular Automata AU - Kroc, Jiri AU - Sloot, Peter MA AU - Hoekstra, Alfons G AU - SpringerLink (Online service) PY - 2010 SN - 9783642122033 9783642263675 9783642122026 9783642122040 PB - Berlin, Heidelberg Springer Berlin Heidelberg DB - UniCat KW - Discrete mathematics KW - Mathematical statistics KW - Mathematics KW - Classical mechanics. Field theory KW - Statistical physics KW - Computer science KW - Artificial intelligence. Robotics. Simulation. Graphics KW - Computer. Automation KW - neuronale netwerken KW - fuzzy logic KW - cybernetica KW - grafentheorie KW - vormgeving KW - computers KW - informatica KW - statistiek KW - mineralen (chemie) KW - simulaties KW - mijnbouw KW - informaticaonderzoek KW - KI (kunstmatige intelligentie) KW - fysica KW - dynamica UR - https://www.unicat.be/uniCat?func=search&query=sysid:94141050 AB - 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. ER -