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

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Abstract
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.
Funding Information
  • National Key Research and Development Program of China (2017YFB1401200)
  • National Natural Science Foundation of China (61972276, 61832014, 62032016)
  • open research fund of The State Key Laboratory for Management and Control of Complex Systems (20210101)
  • Shandong Key Laboratory of Intelligent Buildings Technology (SDIBT202001)

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