Publications Details

Model-form Error Correction using Universal Differential Equations for an Agent-Based Model of Infectious Disease

Nguyen, Kyle C.; Ritscher, Kyle T.; Ray, Jaideep; Acquesta, Erin C.S.

This report demonstrates universal differential equations (UDEs) as an approach to bridge the gap between ordinary differential equations (ODE) models and agent-based models (ABMs). Using UDE models as surrogates for ABMs allows us to preserve the foundational ODE that represents global disease dynamics while coupling it with a neural network model to approximate functions for the local behaviors of the ABM.