Social amplification of risk framework: An agent-based approach
Social amplification of risk framework: An agent-based approach
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.
335-339
Onggo, B.S.
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
2017
Onggo, B.S.
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Onggo, B.S.
(2017)
Social amplification of risk framework: An agent-based approach.
In,
Jager, W., Verbrugge, R., Flache, A., de Roo, G., Hoogduin, L. and Hemelrijk, C.
(eds.)
Advances in Intelligent Systems and Computing.
Cham.
Springer, .
(doi:10.1007/978-3-319-47253-9_30).
Record type:
Book Section
Abstract
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.
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e-pub ahead of print date: 17 March 2017
Published date: 2017
Additional Information:
Export Date: 9 October 2018
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Local EPrints ID: 425226
URI: http://eprints.soton.ac.uk/id/eprint/425226
PURE UUID: 94c7cc6d-4ca4-440a-9f1f-8112ff420fa0
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Date deposited: 11 Oct 2018 16:30
Last modified: 16 Mar 2024 04:38
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Contributors
Editor:
W. Jager
Editor:
R. Verbrugge
Editor:
A. Flache
Editor:
G. de Roo
Editor:
L. Hoogduin
Editor:
C. Hemelrijk
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