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Preprint: LLMs build interpretable models of social behavior

A bioRxiv preprint introduces MindEvolve, an autonomous workflow that uses large language models to generate interpretable symbolic models of human decision-making in social interactions. The models performed most reliably on simpler economic and social preferences, while some advanced systems showed promise on theory of mind and recursive planning.