Open Access

ARTICLE

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

Shiguang Hu^1,2, Le Ru^1,2,*, Bo Lu^1,2, Zhenhua Wang³, Xiaolin Zhao^1,2, Wenfei Wang^1,2, Hailong Xi^1,2

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

* Corresponding Author: Le Ru. Email:

(This article belongs to the Special Issue: Advanced Data Science Technology for Intelligent Decision Systems)

Computers, Materials & Continua 2024, 81(1), 1879-1903. https://doi.org/10.32604/cmc.2024.056110

Received 15 July 2024; Accepted 29 August 2024; Issue published 15 October 2024

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.

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Keywords

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