Computer-based modelling and simulation have become useful tools to facilitate humans to understand systems in different domains, such as physics, astrophysics, chemistry, biology, economics, engineering and social science. A complex system is featured with a large number of interacting components (agents, processes, etc.), whose aggregate activities are nonlinear and self-organized. Complex systems are hard to be simulated or modelled by using traditional computational approaches due to complex relationships among system components, distributed features of resources, and dynamics of environments. Meanwhile, smart systems such as multi-agent systems have demonstrated advantages and great potentials in modelling and simulating complex systems.
翻译：基于计算机的建模和模拟已成为有用的工具,有助于人类了解不同领域的系统,例如物理学、天体物理学、化学、生物学、经济学、工程学和社会科学,一个复杂的系统具有大量互动组成部分(试剂、过程等)的特点,这些组成部分的综合活动是非线性、自我组织的,复杂的系统很难通过使用传统的计算方法进行模拟或模拟,这是因为系统各组成部分之间的关系复杂、资源分布特点和环境动态变化,同时,多试剂系统等智能系统在建模和模拟复杂系统方面显示出优势和巨大潜力。
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