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SHOULD WE SIMULATE MENTAL MODELS TO ASSESS WHETHER THEY AGREE

机译:我们应该模拟心理模型,以评估他们是否同意

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Modeling approaches can support policy coherence by capturing the logistics of an intervention involving multiple individuals, or by identifying goals and preferences of each individual. An important intermediate step is to identify agreement among individuals. This may be achieved through intensive qualitative methods such as interviews, or by automatically comparing models. Current comparisons are limited as they either assess whether individuals think of the same factors, or see the same causal connections between factors. Systems science suggests that, to test whether individuals really share a paradigm, we should mobilize their whole models. Instead of comparing their whole models through multiple simulation scenarios, we suggested using network centrality. We performed experiments on mental models from 264 participants in the context of fishery management. Our results suggest that if stakeholder groups agree on the central factors (per Katz centrality), they also tend to agree on simulation outcomes and thus share a paradigm.
机译:建模方法可以通过捕获涉及多个个人的干预的物流来支持政策一致性,或通过识别每个人的目标和偏好。一个重要的中间步骤是识别个人之间的协议。这可以通过强化定性方法(例如访谈)或通过自动比较模型来实现。当前比较有限,因为他们要么评估个人是否会想到相同的因素,或者看到因素之间的同样的因果关系。系统科学表明,要测试个人是否真正分享范式,我们应该动员整个模型。我们建议使用网络中心建议,而不是通过多种仿真方案进行比较整个模型。我们在渔业管理范围内从264名参与者进行了对精神模型的实验。我们的研究结果表明,如果利益相关方群体对中央因素(按Katz Centrality)一致,他们也倾向于就模拟成果达成一致,从而分享范式。

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