
@Article{cmc.2024.056110,
AUTHOR = {Shiguang Hu, Le Ru, Bo Lu, Zhenhua Wang, Xiaolin Zhao, Wenfei Wang, Hailong Xi},
TITLE = {Research on Maneuver Decision-Making of Multi-Agent Adversarial Game in a Random Interference Environment},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {81},
YEAR = {2024},
NUMBER = {1},
PAGES = {1879--1903},
URL = {http://www.techscience.com/cmc/v81n1/58360},
ISSN = {1546-2226},
ABSTRACT = {The strategy evolution process of game players is highly uncertain due to random emergent situations and other external disturbances. This paper investigates the issue of strategy interaction and behavioral decision-making among game players in simulated confrontation scenarios within a random interference environment. It considers the possible risks that random disturbances may pose to the autonomous decision-making of game players, as well as the impact of participants’ manipulative behaviors on the state changes of the players. A nonlinear mathematical model is established to describe the strategy decision-making process of the participants in this scenario. Subsequently, the strategy selection interaction relationship, strategy evolution stability, and dynamic decision-making process of the game players are investigated and verified by simulation experiments. The results show that maneuver-related parameters and random environmental interference factors have different effects on the selection and evolutionary speed of the agent’s strategies. Especially in a highly uncertain environment, even small information asymmetry or miscalculation may have a significant impact on decision-making. This also confirms the feasibility and effectiveness of the method proposed in the paper, which can better explain the behavioral decision-making process of the agent in the interaction process. This study provides feasibility analysis ideas and theoretical references for improving multi-agent interactive decision-making and the interpretability of the game system model.},
DOI = {10.32604/cmc.2024.056110}
}



