Hauge A
Fysiologisk institutt, Universitetet i Oslo.
Tidsskr Nor Laegeforen. 1993 Dec 10;113(30):3678-85.
Biological systems are governed by nonlinear dynamics and often appear to be random, because the available information, though accurate, is usually incomplete. It is important to be aware of the fact that nonlinear deterministic systems can behave unpredictably in the long term. Traditional reductionism is unable to provide an adequate understanding of such systems. A more global description and explanation of forms, features and functions is required. Chaos theory and fractal geometry are of value in this respect. This article is an introduction to this relatively new field of science and mathematics.
生物系统受非线性动力学支配,并且常常看似是随机的,因为可用信息虽然准确,但通常不完整。必须认识到这样一个事实,即非线性确定性系统从长远来看可能表现出不可预测性。传统的还原论无法充分理解此类系统。需要对形式、特征和功能进行更全面的描述和解释。混沌理论和分形几何在这方面具有价值。本文是对这个相对较新的科学和数学领域的介绍。