The role of causal models in evaluating simple and complex legal explanations
The role of causal models in evaluating simple and complex legal explanations
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因果模型在评估简单和复杂法律解释中的作用
DOI：
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
D. Lagnado
中科院分区：
文献类型：
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作者：
A. Liefgreen;D. Lagnado
尽管越来越多的研究调查人们的解释偏好在心理学和哲学领域，很少有人知道他们的偏好在更多的应用领域，如刑事司法系统。我们表明，当人们评估竞争的法律的帐户相同的证据，不同的复杂性，他们的解释偏好的影响：i）他们是否需要绘制因果模型的证据，和ii）的实际结构，绘制。尽管之前的研究已经表明，人们可以正确地推理因果关系，但我们的研究是第一批表明生成和绘制因果模型直接影响人们对解释的评价的研究之一。
Despite the increase in studies investigating people’s explanatory preferences in the domains of psychology and philosophy, little is known about their preferences in more applied domains, such as the criminal justice system. We show that when people evaluate competing legal accounts of the same evidence that vary in complexity, their explanatory preferences are affected by: i) whether they are required to draw causal models of the evidence, and ii) the actual structure that is drawn. Although previous research has shown that people can reason correctly about causality, ours is one of the first studies that shows that generating and drawing causal models directly affects people’s evaluations of explanations.