Agent-based models under uncertainty [version 3; peer review: 1 approved, 2 approved with reservations]
Background Monte Carlo (MC) is often used when trying to assess the consequences of uncertainty in agent-based models (ABMs). However, this approach is not appropriate when the uncertainty is epistemic rather than aleatory, that is, when it represents a lack of knowledge rather than variation. The f...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
F1000 Research Ltd
2024-03-01
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| Series: | F1000Research |
| Subjects: | |
| Online Access: | https://f1000research.com/articles/12-834/v3 |