Department of Agricultural and Biological Engineering, University of Florida, 1741 Museum Road, PO Box 110570, Gainesville, FL, 32611-0570, USA.
Sci Rep. 2021 Sep 6;11(1):17709. doi: 10.1038/s41598-021-96661-5.
Many agent-based models (ABMs) try to explain large-scale phenomena by reducing them to behaviors at lower scales. At these scales in social systems are functional groups such as households, religious congregations, coops and local governments. The intra-group dynamics of functional groups often generate inefficient or unexpected behavior that cannot be predicted by modeling groups as basic units. We introduce a framework for modeling intra-group decision-making and its interaction with social norms, using the household as our focus. We select phenomena related to women's empowerment in agriculture as examples influenced by both intra-household dynamics and gender norms. Our framework proves more capable of replicating these phenomena than two common types of ABMs. We conclude that it is not enough to build multi-scale models; explaining social behaviors entails modeling intra-scale dynamics.
许多基于主体的模型（ABMs）试图通过将其简化为较低规模的行为来解释大规模现象。在社会系统的这些规模中，存在着功能群体，如家庭、宗教团体、合作社和地方政府。功能群体的群体内动态常常产生低效或意外的行为，这些行为无法通过将群体建模为基本单位来预测。我们引入了一个用于建模群体内决策及其与社会规范相互作用的框架，以家庭为重点。我们选择了与农业妇女赋权相关的现象作为受到家庭内部动态和性别规范影响的例子。我们的框架比两种常见的 ABM 类型更能复制这些现象。我们得出结论，仅仅构建多尺度模型是不够的；解释社会行为需要对内部尺度的动态进行建模。
