Abstract
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.
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Holtz, G., Nebel, M. (2014). Testing Model Robustness – Variation of Farmers’ Decision-Making in an Agricultural Land-Use Model. In: Kamiński, B., Koloch, G. (eds) Advances in Social Simulation. Advances in Intelligent Systems and Computing, vol 229. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39829-2_4
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