Methodological options for modelling agents decision-making in multi-agent system model of coupled community-landscape systems

Abstract

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.