Large-scale Data-driven Agent-based Simulation of Covid-19

This is version 2.0.0 of the code and represents the state of the code as used for the calibration and experiments reported in an upcoming article titled A Framework for Large-Scale Distributed Simulation with Complex Agents by the authors of this code repository. Previous versions of this work have been used in the following publications: de Mooij, J., Dell’Anna, D., Bhattacharya, P., Dastani, M., Logan, B., & Swarup, S. (2021). Quantifying the effects of norms on COVID-19 cases using an agent-based simulation. In Proceedings of the The 22nd International Workshop on Multi-Agent-Based Simulation (MABS). [in press] Bhattacharya, P., de Mooij, A. J., Dell’Anna, D., Dastani, M., Logan, B., & Swarup, S. (2021). PanSim+ Sim-2APL: A framework for large-scale distributed simulation with complex agents. In International Workshop on Engineering Multi-Agent Systems. [in press