系统科学在科学研究方法论的层面上要求我们从还原论走向系统论,其关注的核心科学问题是复杂系统的涌现性.复杂系统的涌现性通常是指系统通过个体之间的非线性相互作用,可以在宏观层次上出现新的时空结构和功能.通过对各个领域复杂系统宏观涌现行为的研究,抽象出具有普适性的一般规律,是认识系统复杂性的基本途径.而复杂网络作为刻画系统相互作用的基本工具,是构建系统模型、研究系统性质和功能的基础.
From the view point of systems science,the scientific methodology should go beyond reductionism,to adopt systematic methodology.As the theoretical foundation of systems science,systematology should be developed based on the deep research on the emergent properties of complex systems.Emergent property is an important topic in complexity research.It concerns about the emerging of global spatial-temporal structure and function in complex systems.It is believed that the self-organization of individual agent through nonlinear interaction is crucial to the emergence of global collective behavior at macroscopic level.The basic approach for understanding complexity is to investigate the universal laws that determine the emergent behaviors in variant complex systems.Complex networks,as the basic approach to characterize the interaction among components of the systems,are the basis for modeling the systems and understanding the properties and functions of the system.