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 language | English |
|---|---|
| Title of host publication | Modelling and Simulation 2020 - The European Simulation and Modelling Conference, ESM 2020 |
| Editors | Alexandre Nketsa, Claude Baron, Clement Foucher |
| Publisher | EUROSIS |
| Pages | 318-323 |
| Number of pages | 6 |
| ISBN (Electronic) | 9789492859129 |
| DOIs | |
| Publication status | Published - 2020 |
| Event | 34th Annual European Simulation and Modelling Conference, ESM 2020 - Toulouse, France Duration: 21 Oct 2020 → 23 Oct 2020 |
Publication series
| Name | Modelling and Simulation 2020 - The European Simulation and Modelling Conference, ESM 2020 |
|---|
Conference
| Conference | 34th Annual European Simulation and Modelling Conference, ESM 2020 |
|---|---|
| Country/Territory | France |
| City | Toulouse |
| Period | 21/10/20 → 23/10/20 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Agent-based model
- Discrete Simulation
- Infectious Disease Model
- Validation
- Verification
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