A decision network account of reasoning about other people's choices.
A decision network account of reasoning about other people's choices.
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DOI：
10.1016/j.cognition.2015.05.006
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发表时间：
2015-09
期刊：
影响因子：
3.4
通讯作者：
Kemp C
中科院分区：
文献类型：
--
作者：
Jern A;Kemp C
预测和推理他人选择的能力是社会交往的基础。我们建议人们使用类似于决策网络的心理模型来推理其他人的选择。决策网络是贝叶斯网络的扩展，它包含了为了实现目标而做出选择的想法。在我们的第一个实验中，我们探索人们如何预测他人的选择。我们剩下的三个实验探索人们如何通过观察他们所做的选择来推断他人的目标和知识。我们表明，决策网络占我们的数据比其他计算帐户，不纳入目标导向的选择的概念，或不依赖于概率推理。
The ability to predict and reason about other people's choices is fundamental to social interaction. We propose that people reason about other people's choices using mental models that are similar to decision networks. Decision networks are extensions of Bayesian networks that incorporate the idea that choices are made in order to achieve goals. In our first experiment, we explore how people predict the choices of others. Our remaining three experiments explore how people infer the goals and knowledge of others by observing the choices that they make. We show that decision networks account for our data better than alternative computational accounts that do not incorporate the notion of goal-directed choice or that do not rely on probabilistic inference.