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[非统计生物数学:观点、视角、问题]

[Non-statistical biomathematics: opinions, perspectives, problems].

作者信息

Peil J

出版信息

Gegenbaurs Morphol Jahrb. 1981;127(1):89-102.

PMID:7250655
Abstract

By way of tracing the position of biomathematics and its main subjects a discussion is given of the mutual relations between the branches of natural sciences and mathematics within the hierarchically structured building of science. The general possibilities of a mathematical expressing and description of the biological features "complexity", "variability", and "discontinuity" and the limits are shown of validity of mathematical formulations in the field of biology. To this point representative opinions of research workers are quoted. The only direct ways of application of mathematics in biology seems to be the treatment of "variability" by statistical biomathematical means which offers the mathematical services in the design of experiments as well as in the quantitative-descriptive evaluation of experimental results. Aside from these ways a direct mathematical approach to biology is thought of being questionable because of the large differences between the levels of abstraction on which these two disciplines work. But the thesis is stated and supported that biophysics and biocybernetics as mediators provide an appropriate approach of the mathematics to such biological problems which arise from "complexity" and from "discontinuity". The kind of biomathematical tools, the goal of a biomathematical analysis, and the results of such an analysis get their meaning from the biophysical or biocybernetical modelling in which they are embedded. Example of working out of biomathematical methods and of application these methods are added.

摘要

通过追溯生物数学的地位及其主要学科,本文讨论了自然科学各分支与数学在层次结构的科学大厦中的相互关系。展示了用数学表达和描述生物学特征“复杂性”“变异性”和“间断性”的一般可能性,以及数学公式在生物学领域有效性的局限性。为此引用了研究人员的代表性观点。数学在生物学中的唯一直接应用方式似乎是通过统计生物数学方法处理“变异性”,这在实验设计以及对实验结果的定量描述性评估中提供数学服务。除了这些方式,由于这两个学科所处理的抽象层次存在巨大差异,直接用数学方法研究生物学被认为是有问题的。但本文提出并支持这样的观点,即生物物理学和生物控制论作为媒介,为解决由“复杂性”和“间断性”引发的生物学问题提供了一种合适的数学方法。生物数学工具的种类、生物数学分析的目标以及这种分析的结果,都从它们所嵌入的生物物理或生物控制论模型中获得意义。文中还补充了生物数学方法的制定及应用这些方法的实例。

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