On algorithmic essence of biology

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Mathematicity of physics is surprising, but it enables us to understand the laws of nature through the analysis of mathematical structures describing it. This concerns, however, only physics. The degree of the mathematization of biology is low, and attempts to mathematize it are limited to the application of mathematical methods used for the description of physical systems. When doing so, we are likely to commit an error of attributing to biological systems features that they do not have. Some argue that biology does need new mathematical methods conforming to its needs, and not known from physics. However, because of a specific complexity of biological systems, we should speak of their algorithmicity, rather than of their mathematicity. As an example of algorithmic approach one can indicate so called individual-based models used in ecology to describe population dynamics or fractal models applied to describe geometrical complexity of such biological structures as trees.

Keywords: mathematicity of physics, mathematicity of biology, algorithmicity of biology, individual-based modeling, fractal modeling
Citation in English: Uchmanski J.Z. On algorithmic essence of biology // Computer Research and Modeling, 2020, vol. 12, no. 3, pp. 641-652
Citation in English: Uchmanski J.Z. On algorithmic essence of biology // Computer Research and Modeling, 2020, vol. 12, no. 3, pp. 641-652
DOI: 10.20537/2076-7633-2020-12-3-641-652

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