智能博弈决策策略求解新视角实证分析  

An Empirical Analysis of New Perspectives for Strategy Solving in Intelligent Game-theoretic Decision-making

作　　者：苏炯铭 罗俊仁 陈少飞 Su Jiongming;Luo Junren;Chen Shaofei(College of Intelligence Science and Technology,National University of Defense Technology,Changsha 410073,China)

机构地区：[1]国防科技大学智能科学学院,湖南长沙410073

出　　处：《系统仿真学报》2025年第2期345-361,共17页Journal of System Simulation

基　　金：国家自然科学基金(62376280,61806212)。

摘　　要：随着人工智能技术的发展,特别是大型预训练模型理论的推动,智能博奔决策策略求解的一些新视角逐渐受到广泛关注和探讨。结合人工智能技术的发展与智能博奔决策策略求解范式的转变,以国际象棋(两人零和完美信息博奔)、强权外交(多人一般和不完美信息博奔)两款桌面游戏,星际争霸(多智能体马尔可夫博奔)为序贯决策实证分析研究对象,依循人工智能发展的新视角分析策略求解新范式、新方式,从决策大模型范式、生成式人工智能模型、大模型智能体关键技术共3个方面探析智能博弃决策大模型关键技术,为新技术体制下智能博奔决策问题的研究提供借鉴。With the development of artificial intelligence technology,especially the promotion of large-scale pre-training model theory,some new perspectives of strategy solving for intelligent game-theoretic decision-making have gradually been widely concerned and discussed.This paper combines the development of artificial intelligence technology and the transformation of strategy solving paradigm for intelligent game-theoretic decision-making,takes Chess(two-player zero-sum perfect information game),diplomacy(multi-player general-sum imperfect information game),and StarCraft Multi-Agent Challenge(multi-agent Markov game)as the research object for empirical analysis on sequential decision-making,the new paradigm and new way of strategy solving are analyzed according to the new perspective of artificial intelligence development.The key technologies of the intelligent game decision-making model are analyzed from three aspects:the decision grand model paradigm,the generative artificial intelligence model,the large model agent,which provides reference for the research of intelligent game theoretic decision-making under the new technology system.

关 键 词：智能博弈决策 策略求解 生成式人工智能 国际象棋 强权外交 预训练 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]