IMQ (interactive mentalizing questionnaire)
-
Updated
Oct 29, 2024
IMQ (interactive mentalizing questionnaire)
End-to-End Python framework implementing bias-adjusted LLM agents for human-like decision-making in economic games (Kitadai et al., 2025). Features persona-conditioned agent populations using Econographics data, multi-provider API integration, and Wasserstein distance validation against empirical benchmarks.
Agent based ultimatum game in NetLogo
Ultimatum Bargaining Experiment
Selected behavioral economics games to showcase at events for children and adolescents
A repository for Dr. Kobi Gal's research about Extensive Form games, based on The Ultimatum Game presented in https://economics-games.com/otree
To associate your repository with the ultimatum-game topic, visit your repo's landing page and select "manage topics."