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Uncertainty in Agent-Based Models
Researchers have found that it is nearly impossible to escape epistemic uncertainty. Thus far more models are incorporating epistemic uncertainty which many argue improve the model outputs. The KFC disruption in 2018 may have been averted if the more extreme scenarios were considered. However, agent-based models with epistemic uncertainty are underexplored. This talk will cover the current methods to deal with this uncertainty type and explore alternative methods in agent-based models.
Vladimir Stepanov studied BSc Computer Science at University of Edinburgh before starting on an MRes/PhD at the Risk Institute at Liverpool. In his PhD, he explores the different methods of representing epistemic uncertainty in an ABM.