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Agent-based models are helpful to investigate complex dynamics in coupled humanenatural systems. However, model assessment, model comparison and replication are hampered to a large extent by a lack of transparency and comprehensibility in model descriptions. In this article we address the question of whether an ideal standard for describing models exists.(More)
Representing human decisions is of fundamental importance in agent-based models. However, the rationale for choosing a particular human decision model is often not sufficiently empirically or theoretically substantiated in the model documentation. Furthermore, it is difficult to compare models because the model descriptions are often incomplete, not(More)
Meeting the world's growing energy demand through bioenergy production involves extensive land-use change which could have severe environmental and social impacts. Second generation bioenergy feedstocks offer a possible solution to this problem. They have the potential to reduce land-use conflicts between food and bioenergy production as they can be grown(More)
We have found in a literature review of land use change models that the documentation of human decisions, adaptation and learning is quite often incomplete and incomprehensible and would greatly benefit from a standard protocol for model description. Grimm et al. [2006, 2010] introduced such a standard protocol (ODD – Overview, Design, Details) for(More)
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