Generative Agent-Based Modeling: Unveiling Social System Dynamics through Coupling Mechanistic Models with Generative Artificial Intelligence

Understand

We discuss the emerging new opportunity for building feedback-rich computational models of social systems using generative artificial intelligence.

• Referred to as Generative Agent-Based Models (GABMs), such individual-level models utilize large language models such as ChatGPT to represent human decision-making in social settings.
• We provide a GABM case in which human behavior can be incorporated in simulation models by coupling a mechanistic model of human interactions with a pre-trained large language model.
• This is achieved by introducing a simple GABM of social norm diffusion in an organization.