A framework for validating and testing agent-based models: A case study from infectious diseases modelling

Elizabeth Hunter, John D. Kelleher

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationModelling and Simulation 2020 - The European Simulation and Modelling Conference, ESM 2020
EditorsAlexandre Nketsa, Claude Baron, Clement Foucher
PublisherEUROSIS
Pages318-323
Number of pages6
ISBN (Electronic)9789492859129
DOIs
Publication statusPublished - 2020
Event34th Annual European Simulation and Modelling Conference, ESM 2020 - Toulouse, France
Duration: 21 Oct 202023 Oct 2020

Publication series

NameModelling and Simulation 2020 - The European Simulation and Modelling Conference, ESM 2020

Conference

Conference34th Annual European Simulation and Modelling Conference, ESM 2020
Country/TerritoryFrance
CityToulouse
Period21/10/2023/10/20

Keywords

  • Agent-based model
  • Discrete Simulation
  • Infectious Disease Model
  • Validation
  • Verification

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