Abstract
Biological systems can often be viewed as spatial computers: space-filling collections of computational devices with strongly localized communication. Applying a continuous-space abstraction allows the behavior of such systems to be modeled or specified in terms of aggregate geometry and information flow. This can simplify both the engineering of biological systems and the application of biological models to the engineering of non-biological systems, as illustrated by examples from synthetic biology and morphogenetic engineering.
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Beal, J. (2012). Bridging Biology and Engineering Together with Spatial Computing. In: Gheorghe, M., Păun, G., Rozenberg, G., Salomaa, A., Verlan, S. (eds) Membrane Computing. CMC 2011. Lecture Notes in Computer Science, vol 7184. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28024-5_2
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DOI: https://doi.org/10.1007/978-3-642-28024-5_2
Publisher Name: Springer, Berlin, Heidelberg
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