用大模型模拟人类行为，分析动机与策略差异。
Using Large Language Models to Categorize Strategic Situations and Decipher Motivations Behind Human Behaviors
- 通过调整提示词激发大模型在经济博弈中的多样行为。
- 揭示不同情境下人类决策背后的思维模式与动机。
- 可对比不同群体的行为倾向，为行为研究提供新方法。
通过调整大型语言模型的提示词，我们能够激发经典经济博弈中各种情境下的完整人类行为表现。通过分析哪些提示词引发何种行为，可以对不同战略情境进行分类与比较，从而深入理解不同经济场景如何诱发人们思考。该方法为非标准方式推断（解读）人类行为动机提供了初步路径，并展示了此解读过程如何用于分类不同人群的行为倾向差异。
原文摘要 · Abstract (English)
By varying prompts to a large language model, we can elicit the full range of human behaviors in a variety of different scenarios in classic economic games. By analyzing which prompts elicit which behaviors, we can categorize and compare different strategic situations, which can also help provide insight into what different economic scenarios induce people to think about. We discuss how this provides a first step towards a non-standard method of inferring (deciphering) the motivations behind the human behaviors. We also show how this deciphering process can be used to categorize differences in the behavioral tendencies of different populations.
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