This paper presents a comprehensive survey of the current status and
opportunities for Large Language Models (LLMs) in strategic reasoning, a
sophisticated form of reasoning that necessitates understanding and predicting
adversary actions in multi-agent settings while adjusting strategies
accordingly. Strategic reasoning is distinguished by its focus on the dynamic
and uncertain nature of interactions among multi-agents, where comprehending
the environment and anticipating the behavior of others is crucial. We explore
the scopes, applications, methodologies, and evaluation metrics related to
strategic reasoning with LLMs, highlighting the burgeoning development in this
area and the interdisciplinary approaches enhancing their decision-making
performance. It aims to systematize and clarify the scattered literature on
this subject, providing a systematic review that underscores the importance of
strategic reasoning as a critical cognitive capability and offers insights into
future research directions and potential improvements.

本文综述了大规模语言模型（LLMs）在战略推理中的当前状况和机遇，战略推理是一种复杂的推理形式，需要理解和预测多智能体环境中对手行为并相应调整策略。本文探讨了与 LLMs 相关的战略推理的范围、应用、方法论和评估指标，强调了该领域蓬勃发展和跨学科方法对决策性能的增强。该文旨在系统梳理和澄清有关此主题的分散文献，提供系统综述，凸显战略推理作为一种关键认知能力的重要性，并提供未来研究方向和潜在改进的见解。