题目： Game Theory Meets Large Language Models: A Systematic Survey
报告人：Yukun Cheng, Jiangnan University
摘要：Game theory establishes a fundamental framework for analyzing strategic interactions among rational decision-makers. The rapid advancement of large language models (LLMs) has sparked extensive research exploring the intersection of these two fields. Specifically, game-theoretic methods are being applied to evaluate and enhance LLM capabilities, while LLMs themselves are reshaping classic game models. This paper presents a comprehensive survey of the intersection of these fields, exploring a bidirectional relationship from three perspectives: (1) Establishing standardized game-based benchmarks for evaluating LLM behavior; (2) Leveraging game-theoretic methods to improve LLM performance through algorithmic innovations; (3) Characterizing the societal impacts of LLMs through game modeling. Among these three aspects, we also highlight how the equilibrium analysis for traditional game models is impacted by LLMs’ advanced language understanding, which in turn extends the study of game theory. Finally, we identify key challenges and future research directions, assessing their feasibility based on the current state of the field. By bridging theoretical rigor with emerging AI capabilities, this survey aims to foster interdisciplinary collaboration and drive progress in this evolving research area.
个人简介： 程郁琨：博士，博士生导师，江南大学商学院教授。《运筹学学报》《运筹与管理》《Journal of Dynamics and Games》《Blockchain》等期刊编委，中国运筹学会理事兼副秘书长、中国工业与应用数学学会区块链专委会秘书长、中国计算机学会计算经济学专委会副主任，江苏省运筹学会理事。主要研究领域为计算经济学、算法博弈论、组合优化，区块链技术与应用等。曾主持国家自然科学基金项目4项，省部级科研项目2项。在运筹学领域国际顶级刊物MOR，博弈论领域顶级期刊GEB，计算机科学领域重要国际期刊IEEE TCC、IEEE TC、TCS，计算经济学领域国际顶级会议EC、WINE、WWW，区块链领域顶级国际会议FC 2022，人工智能领域顶级会议IJCAI上发表高水平学术论文近80篇。江苏省高校“青蓝工程”中青年学术带头人，江苏省高校“青蓝工程”优秀青年骨干教师。获得2021年度江苏省高等学校科学技术研究成果奖三等奖。获得发明专利2项。
