Dynamic calibration of agent-based models using data assimilation

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...

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Bibliographic Details
Main Authors: Jonathan A. Ward, Andrew J. Evans, Nicolas S. Malleson
Format: Article
Language:English
Published: The Royal Society 2016-01-01
Series:Royal Society Open Science
Subjects:
agent-based models
data assimilation
complex systems
Online Access:https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.150703

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