Can LLMs model regulatory compliance?
Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework
This research introduces a multi-agent simulation framework using LLMs to model how medical device manufacturers adapt to changing regulations. It simulates manufacturers as LLM-powered agents that respond to regulatory changes by adjusting internal parameters related to compliance, market adaptation, and feedback. These simulated actions are then fed into a mathematical model representing regulatory dynamics, creating a feedback loop between agent behavior and regulatory environment. This allows for the study of strategic responses and emergent behaviors in a complex regulatory landscape. Key relevant points include using LLMs for agent decision-making, a coupled mathematical model to ground agent actions, and dynamic feedback loops between the agents and the environment, mimicking real-world regulatory processes.