ArticleProceedings of the National Academy of Sciences of the United States of America2025
Using large language models to categorize strategic situations and decipher motivations behind human behaviors.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Simulated responses from large language models are weak proxies for human economic preferences across 74 countries.Nature human behaviour · 2026Article
- Using large language models to categorize strategic situations and decipher motivations behind human behaviors.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
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4 authors.
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Abstract
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 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 populations.
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