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JOURNALS // Computer Research and Modeling // Archive

Computer Research and Modeling, 2020 Volume 12, Issue 3, Pages 641–652 (Mi crm807)

This article is cited in 2 papers

ANALYSIS AND MODELING OF COMPLEX LIVING SYSTEMS

On algorithmic essence of biology

J. Uchmańskiab

a Cardinal Stefan Wyszyński University, Wóycickiego 1/3, 01-938 Warsaw, Poland
b Tyumen State University, 10 Semakova st., Tyumen, 625003, Russia

Abstract: 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.

UDC: 57.01

Received: 02.03.2020
Revised: 01.04.2020
Accepted: 03.04.2020

Language: English

DOI: 10.20537/2076-7633-2020-12-3-641-652



© Steklov Math. Inst. of RAS, 2025