14 January 2019
Nick ---
cc: SimSoc
You might want to browse the annotated pointers to resources listed at
the following site:
========================
Empirical Validation and Verification of Agent-Based Models
http://www2.econ.iastate.edu/tesfatsi/EmpValid.htm
<http://www2.econ.iastate.edu/tesfatsi/EmpValid.htm>
Table of Contents:
Basic Issues
Introductory Materials on Empirical Validation
Introductory Materials on Verification
Additional Readings on Empirical Validation and Verification
Design of Computational Experiments
Iterative Participatory Modeling (IPM)
=======================
Suggestions for additional relevant resources to add at this site, from
you or from other SimSoc participants, would be most welcome.
Best wishes,
Leigh
On 1/14/2019 10:19 AM, Nicolas Malleson wrote:
> 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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--
Leigh Tesfatsion
Research Professor, and
Professor Emerita of Econ, Math, and
Electrical & Computer Engineering
Department of Economics/Heady 260
Iowa State University
Ames, Iowa 50011-1054
http://www2.econ.iastate.edu/tesfatsi/
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