Computational Experiments for Complex Social System Part II: The Evaluation of Computational Models
Lu, Min1; Chen, Shizhan1; Xue, Xiao1; Wang, Xiao2; Zhang, Yufang1; Zhang, Yifang3; Wang, Fei-Yue2
刊名IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
2021-11-04
页码13
关键词Capability maturity model Computational modeling Biological system modeling Epidemics Analytical models Complex systems COVID-19 Agent-based modeling computational experiments computational models COVID-19 model evaluation
ISSN号2329-924X
DOI10.1109/TCSS.2021.3121323
通讯作者Xue, Xiao(jzxuexiao@tju.edu.cn)
英文摘要Computational experiments are an important method for carrying out the quantitative analysis of complex systems and play a major role in mapping the real world to the virtual world. However, the flexibility of computational experiments leads to arbitrary modeling processes and unconvincing results, which greatly hinder the large-scale application of this method. In this context, the verification of computational models has become an urgent problem in this field. Currently, model evaluation is still in its infancy and the existing evaluation methods are not mature enough. Thus, we took epidemic models as the research object and proposed a capability maturity evaluation framework for computational models of artificial society. The framework differs from previous assessment methods that focus on the validity of results, but instead provides a comprehensive evaluation from two perspectives: 1) evaluation of the model itself--by comparing the expectation with the final implementation, we can obtain whether the model meets the expectation and 2) comparison between different models--by evaluating the implementation process of each model and comparing the results, we can identify more mature models. The implementation of the model is evaluated from input, process, and output. Further, specific analyses and evaluations are conducted for several representative COVID-19 models to verify the validity of this evaluation framework. The results of the case study show that the proposed evaluation framework can help decision-makers identify more mature and referential models, and point out the directions where modelers can improve their models.
资助项目National Key Research and Development Program of China[2017YFB1401200] ; National Natural Science Foundation of China[61972276] ; National Natural Science Foundation of China[61832014] ; National Natural Science Foundation of China[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]
WOS关键词COVID-19 ; EPIDEMIC ; CHINA
WOS研究方向Computer Science
语种英语
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号WOS:000733500500001
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China ; Open Research Fund of the State Key Laboratory for Management and Control of Complex Systems ; Shandong Key Laboratory of Intelligent Buildings Technology
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/46809]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Xue, Xiao
作者单位1.Tianjin Univ, Coll Intelligence & Comp, Tianjin 300350, Peoples R China
2.Chinese Acad Sci, Inst Automat, Beijing 100864, Peoples R China
3.Northwest A&F Univ, Coll Informat Engn, Yangling 712100, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714
Lu, Min,Chen, Shizhan,Xue, Xiao,et al. Computational Experiments for Complex Social System Part II: The Evaluation of Computational Models[J]. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,2021:13.
APA Lu, Min.,Chen, Shizhan.,Xue, Xiao.,Wang, Xiao.,Zhang, Yufang.,...&Wang, Fei-Yue.(2021).Computational Experiments for Complex Social System Part II: The Evaluation of Computational Models.IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,13.
MLA Lu, Min,et al."Computational Experiments for Complex Social System Part II: The Evaluation of Computational Models".IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS (2021):13.
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