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Hi, you may be interested in taking a look at this book chapter from 2017, in particular from section 9.3.3.5, which gives some pointers to various approaches
David N., Fachada N., Rosa A.C. (2017) Verifying and Validating Simulations. In: Edmonds B., Meyer R. (eds) Simulating Social Complexity. Understanding Complex Systems. Springer, Cham
best, Nuno
De: News and discussion about computer simulation in the social sciences <[log in to unmask]> em nome de Nicolas Malleson <[log in to unmask]>
Enviado: 14 de janeiro de 2019 16:19:14
Para: [log in to unmask]
Assunto: [SIMSOC] A review of optimisation/calibration methods for ABMs?Hi all,
I am wondering if anyone is aware of a review or discussion about the quantitative methods used to calibrate/parameterise/optimise* agent-based models? E.g. discussing methods like genetic algorithms, regression, simulated annealing, etc., etc. with a view to recommending those that are the most suitable for different kinds of ABMs.
To be honest I’m surprised not to have found anything, the need to estimate ‘optimal’ parameter values seems fairly common.
Thanks in advance,
Nick
* I think that ‘calibrate', ‘parameterise’ and ‘optimise’ mean largely the same thing (or at least the same methods would be used).
—
Dr Nick Malleson
Associate Professor in Geographical Information Science
School of Geography, University of Leeds, LS2 9JT
[log in to unmask]
http://nickmalleson.co.uk/
0113 34 35248
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