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. © 2012 Springer-Verlag.
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Beal, J. (2012). Bridging biology and engineering together with spatial computing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7184 LNCS, pp. 14–18). https://doi.org/10.1007/978-3-642-28024-5_2
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