Computational Experiments for Complex Social Systems--Part I: The Customization of Computational Model

Computational experiments have emerged as a new method for quantitative analysis of complex social systems. It has been applied to many interdisciplinary research fields, such as economics, finance, and epidemiology. Though the representation form of computational experiments is relatively flexible, the real system is more complex. Therefore, it is important to seek a balance between the flexibility of computational modeling and the credibility of conclusion. This article proposes a customized design framework for computational experiment models, so as to meet the diverse application demands of computational experiments in different fields. Finally, this article outlines some typical applications of computational experiments to provide a roadmap for its rapid development and widespread application.

Automated summary

Computational experiments, as a new method for analyzing complex social systems, have been applied to various interdisciplinary research fields. Balancing flexibility in computational modeling with the credibility of conclusions is crucial, and a customized design framework is proposed in this article to meet diverse application demands. Typical applications of computational experiments are outlined to guide its rapid development and widespread use.