书目名称 | Simulating Complex Systems by Cellular Automata | 编辑 | Jiri Kroc,Peter M.A. Sloot,Alfons G. Hoekstra | 视频video | | 概述 | 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 f | 丛书名称 | Understanding Complex Systems | 图书封面 |  | 描述 | 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 orevolutionary techniques. Meanwhile, beyond the original realm of applications - Physics, Computer Science, and Mathematics – CAhave 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 pa | 出版日期 | Book 2010 | 关键词 | Dynamics; Software; automata; behavior; complexity; computer science; environment; evolution; mathematics; mo | 版次 | 1 | doi | https://doi.org/10.1007/978-3-642-12203-3 | isbn_softcover | 978-3-642-26367-5 | isbn_ebook | 978-3-642-12203-3Series ISSN 1860-0832 Series E-ISSN 1860-0840 | issn_series | 1860-0832 | copyright | Springer-Verlag Berlin Heidelberg 2010 |
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