แนวคิดหลัก
Large Language Models (LLMs) have the potential to revolutionize strategic reasoning, a sophisticated form of reasoning that involves understanding and predicting adversary actions in multi-agent settings while adjusting strategies accordingly.
บทคัดย่อ
This comprehensive survey explores the current state and opportunities for utilizing Large Language Models (LLMs) in strategic reasoning. Strategic reasoning is a distinct form of reasoning that involves reasonably choosing the best strategy of action in a multi-agent setting, considering how others will likely act and how one's own decisions will influence their choices.
The survey first defines strategic reasoning and how it differs from other forms of reasoning. It then delves into the various scenarios where LLMs can be applied for strategic reasoning, including societal simulation, economic simulation, game theory, and gaming. The paper then discusses the methods being employed to enhance the strategic reasoning capabilities of LLMs, such as prompt engineering, module enhancements, theory of mind, and the integration of imitation learning and reinforcement learning.
The evaluation of strategic reasoning with LLMs is also discussed, covering both quantitative and qualitative approaches. The paper concludes by highlighting the challenges and opportunities presented by applying LLMs to strategic reasoning, offering insights into future research directions and potential improvements based on the current limitations of the research.
สถิติ
"Strategic reasoning differentiates itself from other forms of reasoning by the dynamism of the reasoning environment and the uncertainty of adversary actions."
"Prior to the widespread adoption of large language models, strategic reasoning has been confined to intricate digitalized environments such as spatial action games, board games, and competitive video games, where agents' decision-making capabilities heavily rely on extensive simulation through reinforcement learning."
"The advent of LLMs has brought new opportunities for strategic reasoning. Firstly, the text generation capabilities of Large Language Models (LLMs) facilitate a wider range of strategic applications through the implementation of dialogue-based generative agents. Secondly, the powerful contextual understanding capabilities of LLMs enable them to quickly grasp new scenarios, significantly extending the scope of AI-based strategic reasoning settings beyond the previous confines."
คำพูด
"Strategic reasoning can be defined as the ability to anticipate and influence the actions of others in a competitive or cooperative multi-agent setting."
"The core characteristics of strategic reasoning include goal-oriented, interactivity, predictive nature, and adaptability."
"Leveraging the advantages of LLMs in decision-making and reasoning, there has been a flourishing development in enlarging scenarios recently. Meanwhile, methods from interdisciplinary fields such as theory of mind and cognitive hierarchy are being adapted to enhance the decision-making performance of LLMs."