Abstract
Two of the most striking features of nature are the ability of these systems to evolve and reproduce. The model of this chapter presents one of the most basic representations of this process—so-called cellular automata. We build on the spatial models of previous chapters and extend them to explore a series of intricate dynamics that may be generated from them.
What I need is the dandelion in the spring. The bright yellow that means rebirth instead of destruction. The promise that life can go on, no matter how bad our losses. That it can be good again.
(Suzanne Collins, Mockingjay)
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References
Orgel LE (1994) The origin of life on the earth. Sci Am 271:77–83
Schrödinger E (1944) What is life. Cambridge University Press, Cambridge
Von Neumann J (1966) Theory of self-reproducing automata. University of Illinois Press, Chicago
Poundstone W (1985) The recursive universe. Contemporary Books, Chicago
Bak P, Chen K, Creutz M (1989) Self-organized criticality in the “game of life”. Nature 342:780–782
Ruth M, Pieper F (1994) Modeling spatial dynamics of sea level rise in a coastal area. Syst Dyn Rev 10(4):375–389
Bak P, Chen K, Tang C (1990) A forest fire model and some thoughts on turbulence. Phys Lett 147(5–6):297–300
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Hannon, B., Ruth, M. (2014). Game of Life. In: Modeling Dynamic Biological Systems. Modeling Dynamic Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-05615-9_43
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DOI: https://doi.org/10.1007/978-3-319-05615-9_43
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