Methodological options for modelling agent’s decision-making in multi-agent system model of coupled community-landscape systems
This visual-aided manual presents the state-of-the art methodological options for modeling human decision-making in general and in multi-agent system. The options include heuristic, rational, bounded rational and hybrid approaches. Assumptions, rationales and pseudo algorithms for each approach are briefly described. Depending on research goal, team capacity, preference and data availability researchers select one of the approaches to apply. However, it is important that they must understand the assumptions and rationales of the selected approach to realize the methodological limits. In general, the model of real-world decision-making of smallholder farmers favors the hybrid approach.
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Author: Devare, MedhaDate: 2017-03-02Type: ReportStatus: Open accessThis document is designed to present and offer guidance for using CG Core, the set of metadata elements used by CGIAR Research Center and CRP repositories, in order to facilitate cross-repository searching and enhance ...
Author: ICARDA, Communication TeamDate: 2011-11-08Type: BrochureStatus: Open accessThe CGIAR Research Program on Dryland Systems (known as Dryland Systems) embodies a new approach to integrated and ‘holistic’ agricultural research. It combines several research disciplines, including crop improvement, ...
Author: Leeuwis, Cees; 0000-0002-3361-4581; ORCIDDate: 2014-11-30Type: BriefStatus: Open accessThe three system CGIAR research programs on Integrated Systems for the Humid Tropics, Dryland Systems and Aquatic Agricultural Systems have included “capacity to innovate” as an intermediate development outcome in their ...