Knowledge Closed-loop Driving-based Intelligent Game Confrontation Simulation

Authors

Quan Liu, College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China; National Key Laboratory of Equipment State Sensing and Smart Support, National University of Defense Technology, Changsha 410073, China
Yu Wang, College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China
Linyue Liu, College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China
Hao Chen, College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China; National Key Laboratory of Equipment State Sensing and Smart Support, National University of Defense Technology, Changsha 410073, China
Jian Huang, College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China; National Key Laboratory of Equipment State Sensing and Smart Support, National University of Defense Technology, Changsha 410073, China

Abstract

Abstract: For human-machine intelligence integration and collaborative intelligence enhancement, a “knowledge-model-data-knowledge” closed-loop paradigm for combat simulation is proposed to guide the design of a DRL-based game confrontation simulation architecture. By building a combat priori knowledge-guided DRL agent model, mining and analyzing the time series data of agent interactions generated during simulations, and extracting combat posterior knowledge that expands the cognition boundaries of commanders, the knowledge closed-loop driving mechanism for intelligent combat simulations is achieved. The experimental results indicate that the proposed mechanism can effectively endow the combat simulation system with intelligence growth capabilities, providing valuable reference for the deepening of “human” cognition in combat simulations.

Recommended Citation

Liu, Quan; Wang, Yu; Liu, Linyue; Chen, Hao; and Huang, Jian (2026) "Knowledge Closed-loop Driving-based Intelligent Game Confrontation Simulation," Journal of System Simulation: Vol. 38: Iss. 2, Article 13.
DOI: 10.16182/j.issn1004731x.joss.25-0685
Available at: https://dc-china-simulation.researchcommons.org/journal/vol38/iss2/13

First Page

416

Last Page

432

CLC

TP391.9

Recommended Citation

Liu Quan, Wang Yu, Liu Linyue, et al. Knowledge Closed-loop Driving-based Intelligent Game Confrontation Simulation[J]. Journal of System Simulation, 2026, 38(2): 416-432.

Corresponding Author

Huang Jian

DOI

10.16182/j.issn1004731x.joss.25-0685