While ABMs offer many advantages, they also have some limitations:
Data Requirements: ABMs require detailed data to accurately represent agents and their interactions, which can be challenging to obtain. Computational Complexity: Simulating large populations with intricate interactions can be computationally intensive and time-consuming. Model Validation: Ensuring that the model accurately represents real-world phenomena can be difficult, requiring extensive validation and calibration.
