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arXiv 2102.01190cs.AI
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第四届复杂系统智能仿真与建模国际研讨会

The 4th International Workshop on Smart Simulation and Modelling for Complex Systems

Xing Su, Yan Kong, Weihua Li

摘要:

以计算机为基础的建模和模拟已成为帮助人类理解不同领域系统的有用工具,这些领域包括物理学、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的交互组件(代理,进程等),其聚集活动是非线性的和自组织的。复杂系统由于其各组成部分之间的复杂关系、资源的分布特性以及环境的动态性,使得传统的计算方法难以对其进行模拟或建模。与此同时,智能系统,如多智能体系统在建模和仿真复杂系统的优势和巨大的潜力。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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