Lecture Date: October 5, 2020 - Monday
Lecturer: Dr. Hamdi Kavak
Agent-based models (ABMs) are used in capturing complex interdependent systems based on the interaction between constituent units. The flexibility of such models come with challenges related to model verification and validation. This lecture discusses methodological approaches to verifying and validating ABMs. In addition to common practices, this lecture will delve into recently developed ABM verification and validation techniques.
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- Gore, Ross J., Christopher J. Lynch, and Hamdi Kavak. “Applying statistical debugging for enhanced trace validation of agent-based models.” Simulation 93.4 (2017): 273-284.
- Lamperti, F., Roventini, A., & Sani, A. (2018). Agent-based model calibration using machine learning surrogates. Journal of Economic Dynamics and Control, 90, 366-389.
- Ligtenberg, A., van Lammeren, R. J., Bregt, A. K., & Beulens, A. J. (2010). Validation of an agent-based model for spatial planning: A role-playing approach. Computers, Environment and Urban Systems, 34(5), 424-434.