计算机应用与软件2025，Vol.42Issue(5)：263-270,290,9.DOI:10.3969/j.issn.1000-386x.2025.05.036
类脑的多智能体决策算法及其在扑克中的应用
BRAIN-LIKE MULTI-AGENT DECISION-MAKING ALGORITHM RESEARCH AND ITS APPLICATION
摘要
Abstract
The multi-agent decision-making suffers from the problems of non-interpretability of models and long training time.Therefore,this paper represented the application scenario based on the knowledge base,established causal links between knowledge,and used a self-growing graph structure to fix new knowledge learned after few-shot-learning.A multi-agent decision-making model was designed in the Doudizhu scenario to achieve a behavioral performance brain-like level of intelligence with explainability.Compared with the state-of-the-art landlord model of today,it can achieve a 40％win rate when playing against each other as a landlord with 1 728 times higher time efficiency.关键词
多智能体决策/可解释性/小样本学习/斗地主Key words
Multi-agent decision-making/Explainability/Few-shot-learning/Doudizhu分类
信息技术与安全科学引用本文复制引用
周恩光,何虎..类脑的多智能体决策算法及其在扑克中的应用[J].计算机应用与软件,2025,42(5):263-270,290,9.基金项目
国家重点研发计划项目(2016YFA0201804E). （2016YFA0201804E）
