信息与控制2024，Vol.53Issue(1)：86-97,12.DOI:10.13976/j.cnki.xk.2023.2506
基于不完备信息预测的多智能体分布式协同
Multi-agent Distributed Cooperation Based on Incomplete Information Prediction
摘要
Abstract
To solve the problem of multi-agent cooperative decision-making in a partially observable ad-versarial environment inspired by the learning and reasoning functions of the human cerebral cortex through memory,a new multi-agent distributed cooperative decision-making framework based on incomplete information prediction in a partially observable adversarial environment is proposed.The framework can use support vector regression and other prediction methods to predict invisible information in the environment through historical memory and current observed information and fuse the predicted information and the observed information as a basis of cooperative decision-making;Then,cooperative strategy learning is performed through distributed multi-agent reinforcement learning to obtain the decision-making model of each agent in the team.Multi-agent cooperative de-cision-making is verified in a typical partially observable adversarial environment using this framework and various prediction algorithms.The results show that the proposed framework is universal to va-rious prediction algorithms and can improve the level of multi-agent cooperative decision-making by 23.4％while ensuring high prediction accuracy for invisible parts.关键词
多智能体协同/部分可观/信息预测/分布式协同决策/对抗环境Key words
multi-agent cooperation/partially observable/information prediction/distributed cooperative deci-sion-making/adversarial environment分类
信息技术与安全科学引用本文复制引用
张宏达,李德才,何玉庆..基于不完备信息预测的多智能体分布式协同[J].信息与控制,2024,53(1):86-97,12.基金项目
国家自然科学基金项目(61991413,91948202,91848203,91948303) （61991413,91948202,91848203,91948303）
辽宁省中央引导地方科技发展专项项目(2022JH6/100100009) （2022JH6/100100009）
