There is a paucity in the use of simulation for theory development in the context of the social amplification of risk. Simulation modeling has the advantage of making a theory more precise and including relevant factors within broader boundaries (e.g. the use of multiple actors). This paper demonstrates how an agent-based simulation model can be developed to generate or test a theory in the context of the social amplification of risk. The challenges on model’s calibration and validation are highlighted.
CITATION STYLE
Onggo, B. S. (2017). Social amplification of risk framework: An agent-based approach. In Advances in Intelligent Systems and Computing (Vol. 528, pp. 335–339). Springer Verlag. https://doi.org/10.1007/978-3-319-47253-9_30
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