Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/266186
Authors: 
Troost, Christian
Huber, Robert
Bell, Andrew R.
van Delden, Hedwig
Filatova, Tatiana
Le, Quang Bao
Lippe, Melvin
Niamir, Leila
Polhill, J. Gareth
Sun, Zhanli
Berger, Thomas
Year of Publication: 
2023
Citation: 
[Journal:] Environmental Modelling & Software [ISSN:] 1364-8152 [Volume:] 159 [Article No.:] 105559 [Publisher:] Elsevier [Place:] Amsterdam [Year:] 2023 [Pages:] 1-21
Publisher: 
Elsevier, Amsterdam
Abstract: 
There has so far been no shared understanding of validity in agent-based simulation. We here conceptualise validation as systematically substantiating the premises on which conclusions from simulation analysis for a particular modelling context are built. Given such a systematic perspective, validity of agent-based models cannot be ensured if validation is merely understood as an isolated step in the modelling process. Rather, valid conclusions from simulation analysis require context-adequate method choices at all steps of the simulation analysis including model construction, model and parameter inference, uncertainty analysis and simulation. We present a twelve-step protocol to highlight the (often hidden) premises for methodological choices and their link to the modelling context. It is designed to aid modelers in understanding their context and in choosing and documenting context-adequate and mutually consistent methods throughout the modelling process. Its purpose is to assist reviewers and the community as a whole in assessing and discussing context-adequacy.
Subjects: 
model validation
model inference
calibration
generalisation
regime shift
Persistent Identifier of the first edition: 
Creative Commons License: 
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Document Type: 
Article
Document Version: 
Published Version

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