Computational Experiments for Complex Social Systems: Integrated Design of Experiment System

• Published in: IEEE/CAA journal of automatica sinica Vol. 11; no. 5; pp. 1175 - 1189
• Main Authors: Xue, Xiao, Yu, Xiangning, Zhou, Deyu, Wang, Xiao, Bi, Chongke, Wang, Shufang, Wang, Fei-Yue
• Format: Journal Article
• Language: English
• Published: Piscataway Chinese Association of Automation (CAA) 01.05.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE); College of Intelligence and Computing,Tianjin University,Tianjin 300350,China%School of Software,Shandong University,Jinan 250101,China%School of Artificial Intelligence,Anhui University,Hefei 230601,China%School of Geographic and Environmental Sciences,Tianjin Normal University,Tianjin 300387,China%Institute of Automation Chinese Academy of Sciences,Beijing 100190,China
• Subjects: Analytical models; Artificial society; Coal mines; Complex systems; Complexity; Complexity theory; computational experiments; Computational modeling; Data models; Design of experiments; Emergency management; Emergency services; Human factors; Information industry; Integrated design; Mechanical analysis; model integration; operation engine; Systematics; technology integration; operation engine; computational experiments; model integration; technology integration; Artificial society
• ISSN: 2329-9266; 2329-9274
• DOI: 10.1109/JAS.2023.123639

Powered by advanced information industry and intelligent technology, more and more complex systems are exhibiting characteristics of the cyber-physical-social systems (CPSS). And human factors have become crucial in the operations of complex social systems. Traditional mechanical analysis and social simulations alone are powerless for analyzing complex social systems. Against this backdrop, computational experiments have emerged as a new method for quantitative analysis of complex social systems by combining social simulation (e.g., ABM), complexity science, and domain knowledge. However, in the process of applying computational experiments, the construction of experiment system not only considers a large number of artificial society models, but also involves a large amount of data and knowledge. As a result, how to integrate various data, model and knowledge to achieve a running experiment system has become a key challenge. This paper proposes an integrated design framework of computational experiment system, which is composed of four parts: generation of digital subject, generation of digital object, design of operation engine, and construction of experiment system. Finally, this paper outlines a typical case study of coal mine emergency management to verify the validity of the proposed framework.