Publisher DOI: 10.18564/jasss.4274
Title: Metamodels for evaluating, calibrating and applying agent-based models: A review
Language: English
Authors: Pietzsch, Bruno 
Fiedler, Sebastian 
Mertens, Kai Gustav 
Richter, Markus 
Scherer, Cédric 
Widyastuti, Kirana 
Wimmler, Marie-Christin 
Zakharova, Liubov 
Berger, Uta 
Keywords: calibration;emulator;individual-based model;review;sensitivity analysis;surrogate model
Issue Date: 31-Mar-2020
Publisher: Fırat Üniversitesi
Source: JASSS 2 (23) : 9 (2020)
Journal or Series Name: The Journal of academic social science studies 
Abstract (english): The recent advancement of agent-based modeling is characterized by higher demands on the pa-rameterization, evaluation and documentation of these computationally expensive models. Accordingly, there is also a growing request for “easy to go” applications just mimicking the input-output behavior of such mod-els. Metamodels are being increasingly used for these tasks. In this paper, we provide an overview of common metamodel types and the purposes of their usage in an agent-based modeling context. To guide modelers in the selection and application of metamodels for their own needs, we further assessed their implementation effort and performance. We performed a literature research in January 2019 using four different databases. Five different terms paraphrasing metamodels (approximation, emulator, meta-model, metamodel and surrogate) were used to capture the whole range of relevant literature in all disciplines. All metamodel applications found were then categorized into specific metamodel types and rated by different junior and senior researches from varying disciplines (including forest sciences, landscape ecology, or economics) regarding the implementation effort and performance. Specifically, we captured the metamodel performance according to (i) the consider-ation of uncertainties, (ii) the suitability assessment provided by the authors for the particular purpose, and (iii) the number of valuation criteria provided for suitability assessment. We selected 40 distinct metamodel applications from studies published in peer-reviewed journals from 2005 to 2019. These were used for the sensitivity analysis, calibration and upscaling of agent-based models, as well to mimic their prediction for different scenarios. This review provides information about the most applicable metamodel types for each purpose and forms a first guidance for the implementation and validation of metamodels for agent-based models.
URI: http://hdl.handle.net/11420/7319
ISSN: 2147-2971
Institute: Controlling und Simulation W-1 
Type: (wissenschaftlicher) Artikel
Funded by: German Federal Environmental Foundation (DBU) German Research Foundation (DFG project TI 824/3-1)
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