Two empirically grounded agent-based models of agricultural land-use change are presented and compared with respect to factors driving ground-water use. The models are identical in most aspects, but one model uses a utility-approach to represent farmers' decision-making, while the other uses satisficing. The model-comparison exercise helps to distinguish substantial from implementation-dependent conclusions drawn from the model(s), and confirms the importance of model robustness tests. © Springer-Verlag Berlin Heidelberg 2014.
CITATION STYLE
Holtz, G., & Nebel, M. (2014). Testing model robustness - Variation of farmers’ decision-making in an agricultural land-use model. In Advances in Intelligent Systems and Computing (Vol. 229 AISC, pp. 37–48). Springer Verlag. https://doi.org/10.1007/978-3-642-39829-2_4
Mendeley helps you to discover research relevant for your work.