google-deepmind/concordia

About

Concordia is a library for constructing and running generative agent-based models that simulate interactions among entities in grounded physical, social, or digital environments. It uses an interaction pattern inspired by tabletop role-playing games: a special entity called the Game Master (GM) simulates the environment in which player entities interact. Entities describe their intended actions in natural language, and the GM translates these into appropriate outcomes e.g. checking physical plausibility in simulated worlds.

Concordia supports a broad range of applications, including social science research, AI safety and ethics, cognitive neuroscience, economics, synthetic data generation…

Excerpted from github.com/google-deepmind/concordia