Savageau M A
Biomed Biochim Acta. 1985;44(6):839-44.
Our approach to the development of an appropriate formalism for organizationally complex systems has been to search for a general formalism that would retain the essential nonlinear features (at least in approximate form) and yet would be amenable to mathematical analysis. The power-law formalism, described in detail elsewhere, leads naturally to a system of nonlinear differential equations, which is called an "S-system" because it captures the saturable and synergistic properties intrinsic to biological and other organizationally complex systems. Some of the advantages of this formalism and its implications for complex systems are discussed. Although the power-law formalism was originally developed as an "approximation", there are now several examples of "exact" representation by S-systems. In fact, a wide range of nonlinear equations can be recast in the form of S-systems. Such recasting and the use of algorithms optimized for S-systems greatly improves the efficiency of solution over that obtainable with conventional algorithms.
我们为组织复杂系统开发合适形式体系的方法是寻找一种通用形式体系,它能保留基本的非线性特征(至少以近似形式),同时又便于进行数学分析。在其他地方详细描述的幂律形式体系自然地引出了一个非线性微分方程组,这个方程组被称为“S - 系统”,因为它捕捉到了生物和其他组织复杂系统固有的饱和及协同特性。本文讨论了这种形式体系的一些优点及其对复杂系统的影响。尽管幂律形式体系最初是作为一种“近似”发展起来的,但现在有几个“S - 系统”的“精确”表示的例子。事实上,广泛的非线性方程都可以改写成S - 系统的形式。这种改写以及使用针对S - 系统优化的算法,大大提高了解决问题的效率,超过了使用传统算法所能达到的效率。