Computational Experiments for Complex Social Systems—Part III
The Docking of Domain Models
Bibliographic Data
| ID | 22108251 |
|---|---|
| Authors | Xiao Xue (0000-0003-1204-9883, Tianjin University), Xiangning Yu (Tianjin University), Deyu Zhou (0000-0002-1150-7662, Shandong University), Chao Peng (0009-0009-9669-8928, Tianjin University), Xiao Wang (0000-0001-8231-6778, Chinese Academy of Sciences), Donghua Liu (0000-0002-1108-257X, China Waterborne Transport Research Institute), Fei‐yue Wang (0000-0001-9185-3989, Chinese Academy of Sciences) |
| Year | 2024 |
| Volume | 11 |
| Issue | 2 |
| Pages | 1766-1780 |
| Publication date | 2024-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | IEEE Transactions on Computational Social Systems (JOURNAL) |
| Journal identifiers | ISSN: 2329-924X • E-ISSN: 2373-7476 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) (PUBLISHER) |
| DOI | 10.1109/tcss.2023.3243894 |
| OpenAlex | W4321608016 |
| Language | EN |
| Citations received | 1 |
| References cited | 31 |
Powered by advanced information technology, more and more complex systems are exhibiting characteristics of the cyber–physical–social systems (CPSS). In consideration of the cost, legal, and institutional constraints on the study of CPSS in real world, computational experiments have emerged as a new method for quantitative analysis of CPSS. However, with the increase of application scenarios, how to map complex and diverse domain models to artificial society models has become a key challenge to hinder the wide use of computational experiments. In this article, the docking framework between the domain model and the artificial society model was proposed in this article, and the model docking specification is given from three aspects: the agent model, the environmental model, and the rules model. In addition, the effectiveness of the framework was verified by two classic cases: artificial stock market and epidemic prevention and control. The result showed that the proposed model docking framework can provide technical support for the multidisciplinary applications of computational experiments and significantly reduce the difficulty of using the method
Complex system · Computational model · Management science · Multidisciplinary approach · Social system · Complex Systems and Time Series Analysis · Computer Science · Data Visualization and Analytics · Engineering · Time Series Analysis and Forecasting · Artificial Intelligence
Growing Artificial Societies
Computational Social Science
Computational Experiments for Complex Social Systems—Part I
Computational Experiments for Complex Social Systems—Part II
Mason RebeLand
Models of natural and human dynamics in forest landscapes
Bit by Bit
Strategic Covid-19 vaccine distribution can simultaneously elevate social utility and equity
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |