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Publisher DOI: 10.18564/jasss.2897
Title: The complexities of agent-based modeling output analysis
Language: English
Authors: Lee, Ju Sung 
Filatova, Tatiana 
Ligmann-Zielinska, Arika 
Hassani-Mahmooei, Behrooz 
Stonedahl, Forrest 
Lorscheid, Iris 
Voinov, Alexey 
Polhill, Gary 
Sun, Zhanli 
Parker, Dawn Cassandra 
Keywords: Agent-based modeling;Methodologies;Sensitivity analysis;Spatio-temporal heterogeneity;Statistical test;Visualization
Issue Date: 31-Oct-2015
Publisher: JASSS
Source: JASSS 4 (18) : 4 (2015-10-31)
Journal or Series Name: The journal of artificial societies and social simulation 
Abstract (english): The proliferation of agent-based models (ABMs) in recent decades has motivated model practitioners to improve the transparency, replicability, and trust in results derived from ABMs. The complexity of ABMs has risen in stride with advances in computing power and resources, resulting in larger models with complex interactions and learning and whose outputs are often high-dimensional and require sophisticated analytical approaches. Similarly, the increasing use of data and dynamics in ABMs has further enhanced the complexity of their outputs. In this article, we offer an overview of the state-of-the-art approaches in analyzing and reporting ABM outputs highlighting challenges and outstanding issues. In particular, we examine issues surrounding variance stability (in connection with determination of appropriate number of runs and hypothesis testing), sensitivity analysis, spatio-temporal analysis, visualization, and effective communication of all these to non-technical audiences, such as various stakeholders.
DOI: 10.15480/882.2697
ISSN: 1460-7425
Institute: Controlling und Simulation W-1 
Type: (wissenschaftlicher) Artikel
Funded by: This material is based upon work supported by NWO DID MIRACLE (640-006-012), NWO VENI grant (451-11-033), and EU FP7 COMPLEX (308601).
License: CC BY 4.0 (Attribution) CC BY 4.0 (Attribution)
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