Dynamic calibration of agent-based models using data assimilation
A widespread approach to investigating the dynamical behaviour of complex social systems is via agent-based models (ABMs). In this paper, we describe how such models can be dynamically calibrated using the ensemble Kalman filter (EnKF), a standard method of data assimilation. Our goal is twofold. Fi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
The Royal Society
2016-01-01
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| Series: | Royal Society Open Science |
| Subjects: | |
| Online Access: | https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.150703 |