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Foundation models have been increasingly applied to behavioral science domains such as psychology, sociology, and economics. While these models show promise in tasks such as survey response prediction and human-subject experiment simulation, there remains no systematic understanding of how well they perform across dive...
A general, easy-to-implement AI-based modeling technique for analyzing human behavior that combines the flexibility and interpretability of natural language with a mathematical structure that can be fitted to data and easily analyzed is introduced.
Applying the method to 119,147 decisions made by 78,657 subjects from more than 35 countries across 10 classic economic game roles, it is found that human behavior can be closely matched using three dimensions: Risk Aversion, Strategic Sophistication, and Trust.
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