The Large-Scale, Systematic and Iterated Comparison of Agent-Based Policy Models

Bithell, M, Chattoe-Brown, E and Edmonds, B ORCID: https://orcid.org/0000-0002-3903-2507 (2021) The Large-Scale, Systematic and Iterated Comparison of Agent-Based Policy Models. In: 15th Social Simulation Conference, 23 September 2019 - 27 September 2019, Mainz, Germany.

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Official URL: https://link.springer.com/chapter/10.1007/978-3-03...

Abstract

Vital to the increased rigour (and hence reliability) of Agent-based modelling are various kinds of model comparison. The reproduction of simulations is an essential check that models are as they are described. Here we argue that we need to go further and carry out large-scale, systematic and persistent model comparison—where different models of the same phenomena are compared against standardised data sets and each other. Lessons for this programme can be gained from the Model Intercomparison Projects (MIP) in the Climate Community and elsewhere. The benefits, lessons and particular difficulties of implementing a similar project in social simulation are discussed, before sketching what such a project might look like. It is time we got our act together!

Item Type:	Conference or Workshop Item (Paper)
Published Proceedings:	Advances in Social Simulation: Proceedings of the 15th Social Simulation Conference: 23–27 September 2019
Peer-reviewed:	Yes
Date Deposited:	16 May 2022 09:18
Publisher:	Springer
Divisions:	Faculties > Business and Law Research Centres > Future Economies
URI:	https://mmu-uat.leaf.cosector.com/id/eprint/629721
DOI:	https://doi.org/10.1007/978-3-030-92843-8_28
ISSN	2213-8684
e-ISSN	2213-8692

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