Research on Requirements and Methods for Intelligent Assessment of Simulation Credibility

Authors

Bingheng Wang, Control and Simulation Center, Harbin Institute of Technology, Harbin 150080, China; National Key Laboratory for Modeling and Simulation of Complex Systems, Harbin 150080, China
Tingrui Liu, Beijing Institute of Astronautical Systems Engineering, Beijing 100076, China
Fan Yang, Control and Simulation Center, Harbin Institute of Technology, Harbin 150080, China; National Key Laboratory for Modeling and Simulation of Complex Systems, Harbin 150080, China
Huan Zhang, Control and Simulation Center, Harbin Institute of Technology, Harbin 150080, China; National Key Laboratory for Modeling and Simulation of Complex Systems, Harbin 150080, China
Wei Li, Control and Simulation Center, Harbin Institute of Technology, Harbin 150080, China; National Key Laboratory for Modeling and Simulation of Complex Systems, Harbin 150080, China
Ping Ma, Control and Simulation Center, Harbin Institute of Technology, Harbin 150080, China; National Key Laboratory for Modeling and Simulation of Complex Systems, Harbin 150080, China
Ming Yang, Control and Simulation Center, Harbin Institute of Technology, Harbin 150080, China; National Key Laboratory for Modeling and Simulation of Complex Systems, Harbin 150080, China

Abstract

Abstract: The accuracy of simulations in representing real-world systems is a critical concern for users. Simulation credibility assessment ensures trustworthiness by evaluating the correctness and effectiveness of simulations to meet application requirements. As simulation technologies are widely adopted, and new simulation paradigms emerge, traditional assessment methods are increasingly showing limitations in their dependence on experts, data processing capabilities, and assessment efficiency. This paper systematically reviewed the research demands, current progress, new technologies, and future trends of intelligent simulation credibility assessment. Based on the simulation credibility assessment process and problem analysis, the requirements for intelligent credibility assessment were discussed. Intelligent technologies were classified, and their applications in credibility assessment were summarized, with four emerging intelligent assessment methods being presented. Potential research directions for intelligent simulation credibility assessment were proposed.

Recommended Citation

Wang, Bingheng; Liu, Tingrui; Yang, Fan; Zhang, Huan; Li, Wei; Ma, Ping; and Yang, Ming (2025) "Research on Requirements and Methods for Intelligent Assessment of Simulation Credibility," Journal of System Simulation: Vol. 37: Iss. 7, Article 8.
DOI: 10.16182/j.issn1004731x.joss.25-0510
Available at: https://dc-china-simulation.researchcommons.org/journal/vol37/iss7/8

First Page

1710

Last Page

1722

CLC

TP391.9

Recommended Citation

Wang Bingheng, Liu Tingrui, Yang Fan, et al. Research on Requirements and Methods for Intelligent Assessment of Simulation Credibility[J]. Journal of System Simulation, 2025, 37(7): 1710-1722.

Corresponding Author

Li Wei

DOI

10.16182/j.issn1004731x.joss.25-0510