BC3 Journal Article “Simple or complicated agent-based models? A complicated issue”

Sun, Zhanli; Lorscheid, Iris; Millington, James D.; Lauf, Steffen; Magliocca, Nicholas R.; Groeneveld, Jürgen; Balbi, Stefano; Nolzen, Henning; Müller, Birgit; Schulze, Jule; Buchmann, Carsten M. 2016. Simple or complicated agent-based models? A complicated issue. Environmental Modelling & Software

Summary

Agent-based models (ABMs) are increasingly recognized as valuable tools in modelling human-environmental systems, but challenges and critics remain. One pressing challenge in the era of “Big Data” and given the flexibility of representation afforded by ABMs, is identifying the appropriate level of complicatedness in model structure for representing and investigating complex real-world systems. In this paper, we differentiate the concepts of complexity (model behaviour) and complicatedness (model structure), and illustrate the non-linear relationship between them. We then systematically evaluate the trade-offs between simple (often theoretical) models and complicated (often empirically-grounded) models. We propose using pattern-oriented modelling, stepwise approaches, and modular design to guide modellers in reaching an appropriate level of model complicatedness. While ABMs should be constructed as simple as possible but as complicated as necessary to address the predefined research questions, we also warn modellers of the pitfalls and risks of building “mid-level” models mixing stylized and empirical components.

Comments are closed.





María de Maeztu Excellence Unit 2023-2026 Ref. CEX2021-001201-M, funded by MCIN/AEI /10.13039/501100011033

©2008 BC3 Basque Centre for Climate Change.


We use cookies of our own and of third parties to improve our services and to be able to offer you, by means of web browsing analysis, the best options. If you continue browsing, we assume that you agree to their use. For further information, please click here.

ACEPTAR
Aviso de cookies