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You might be interested in a paper of mine

Marks, R.E. (2013),
Validation and model selection: three measures compared,
*Complexity Economics*, *2*: 41-61, May,
DOI: 10.7564/13-COEC10
http://www.agsm.edu.au/bobm/papers/parispaper.pdf



On Thu, 17 Jan 2019 at 10:53, Nuno David <[log in to unmask]> wrote:

> 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
>
> https://link.springer.com/chapter/10.1007/978-3-319-66948-9_9
> <https://link.springer.com/chapter/10.1007/978-3-319-66948-9_9>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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