Journal of System Simulation
Abstract
Abstract: The intelligence level of virtual forces is a key factor affecting the credibility and effectiveness of tactical confrontation simulations. To address the current lack of a testing and evaluation system, a method for testing and evaluating the intelligence level of virtual forces based on operational experiments is proposed. Guided by operational experiment theory, the method stimulates the intelligent behavior of virtual forces by constructing dynamic confrontation environments, and collects, calculates, analyzes, and evaluates their intelligence performance data according to a systematic process. The overall architecture, logical functional modules, and basic evaluation process of the method are designed. A "4M" baseline evaluation index system is conducted, covering task completion effectiveness, cognitive effectiveness, cognitive adaptability, and cognitive efficiency, along with a nine-level intelligence level model. The applicability of three typical evaluation experiment implementation modes is analyzed and compared. A case study demonstrates the method's application.
Recommended Citation
Liu, Dayong; Dong, Zhiming; Zhang, Weidong; Zhang, Wenjun; and Gao, Jiancheng
(2026)
"Method for Testing and Evaluating Intelligence Level of Virtual Forces Based on Operational Experiments,"
Journal of System Simulation: Vol. 38:
Iss.
4, Article 14.
DOI: 10.16182/j.issn1004731x.joss.25-0674
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol38/iss4/14
First Page
1030
Last Page
1045
CLC
E917; TP391
Recommended Citation
Liu Dayong, Dong Zhiming, Zhang Weidong, et al. Method for Testing and Evaluating Intelligence Level of Virtual Forces Based on Operational Experiments[J]. Journal of System Simulation, 2026, 38(4): 1030-1045.
DOI
10.16182/j.issn1004731x.joss.25-0674
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Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons