本頁只刊出中文翻譯與中文說明；英文原文請見下方原文連結。
原文連結
論文資訊
- 類型：已發表論文
- 日期：2025-08-28
摘要
By varying prompts to a large 語言 model, we can elicit the full range of human behaviors in a variety of different scenarios in classic 經濟 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 經濟 scenarios might induce people to think about. We discuss how this provides a step toward a nonstandard 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 族群s.
※ 此為已發表論文，全文需透過期刊付費取得