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In this paper we present a framework for validating and testing an agent-based model that includes determining the appropriate number of runs to account for variation in model runs, validating the model and showing that the model can be used to learn about the system. To demonstrate the framework we use a case study of an agent-based model for the spread of infectious diseases.
Hunter, E. & Kelleher, J. (2020). A framework for validating and testing agent-based models: a case study from infectious disease modelling. 34th. Annual European Simulation and Modelling ConferenceToulouse, France, 21-23 October, 2020. doi:10.21427/2xjb-cq79