Agent-Based Modeling for Integrating Human Behavior into the Food–Energy–Water Nexus

摘要: The nexus of food, energy, and water systems (FEWS) has become a salient research topic, as well pressing societal policy challenge. Computational modeling is key tool in addressing these challenges, FEWS subfield now established. However, social dimensions issues, such individual or learning, technology adoption decisions, adaptive behaviors, remain relatively underdeveloped research. Agent-based models (ABMs) have received increasing usage recently efforts to better represent integrate human behavior into A systematic review identified 29 articles which at least two sectors were explicitly considered with an ABM and/or ABM-coupled approach. Agent decision-making ranged from reactive active, motivated by primarily economic objectives multi-criteria nature, implemented individual-based highly aggregated entities. significant proportion did not contain agent interactions, base on existing behavioral theories. Model design choices imposed data limitations, structural requirements for coupling other simulation models, spatial temporal scales application resulted representations lacking explicit processes interactions. In contrast, several methodological innovations also noted, catalyzed the challenges associated developing multi-scale, cross-sector models. Several avenues future ABMs are suggested based findings. reviewed applications progress, yet many opportunities more behaviorally rich agent-based context remain.