Research on Maneuver Decision-Making of Multi-Agent Adversarial Game in a Random Interference Environment  

作　　者：Shiguang Hu Le Ru Bo Lu Zhenhua Wang Xiaolin Zhao Wenfei Wang Hailong Xi 

机构地区：[1]Equipment Management and UAV Engineering College,Air Force Engineering University,Xi’an,710051,China [2]National Key Laboratory of Unmanned Aerial Vehicle Technology,Xi’an,710051,China [3]College of Information Technology,Nanjing Police University,Nanjing,210023,China

出　　处：《Computers, Materials & Continua》2024年第10期1879-1903,共25页计算机、材料和连续体（英文）

摘　　要：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.

关 键 词：Behavior decision-making stochastic evolutionary game nonlinear mathematical modeling MULTI-AGENT MANEUVER 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]