Agent-based models are important tools for simulating farmers’ behaviour in response to changing environmental, economic or institutional conditions and policies. This article introduces an agent-based modelling approach that combines behavioural factors with standard bio-economic modelling of agricultural production. More specifically, our framework integrates the cumulative prospect theory and social interactions with constrained optimisation decisions in agricultural production. We apply our modelling approach to an exemplary bio-economic model on the assessment of weed control decisions. Results show the effects of heterogeneous farm decision-making and social networks on mechanical weed control and herbicide use. This framework provides a generic and conceptually sound approach to improve the scope for representing farmers’ decision-making and allows the simulation of their decisions and recent advances in behavioural economics to be aligned with existing bio-economic models of agricultural systems.

中文翻译：

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在基于代理的建模框架中桥接行为因素和标准生物经济建模

基于代理的模型是模拟农民行为以应对不断变化的环境、经济或制度条件和政策的重要工具。本文介绍了一种基于代理的建模方法，该方法将行为因素与农业生产的标准生物经济建模相结合。更具体地说，我们的框架将累积前景理论和社会互动与农业生产中的约束优化决策相结合。我们将我们的建模方法应用于评估杂草控制决策的示例性生物经济模型。结果显示了异质农场决策和社会网络对机械杂草控制和除草剂使用的影响。