论文标题
将专家的因果判断与可能不同的重点领域相结合
Combining the Causal Judgments of Experts with Possibly Different Focus Areas
论文作者
论文摘要
在许多现实世界中，决策者必须结合不同专家提供的信息，以决定有效的政策。 Alrajeh，Chockler和Halpern [2018]展示了如何结合兼容的因果模型，从某种意义上说，对于两种模型中出现的变量，专家都同意因果结构。在这项工作中，我们展示了如何在专家在因果关系的因果结构上不同意由于具有不同焦点领域而出现的变量的因果结构的情况。我们在此设置中提供了模型兼容性的新正式定义，并展示了如何将兼容模型组合在一起。我们还考虑确定模型是否兼容的复杂性。我们认为，这项工作中定义的概念与许多在自然，社会和医学环境中出现的实际决策方案是直接相关的。
In many real-world settings, a decision-maker must combine information provided by different experts in order to decide on an effective policy. Alrajeh, Chockler, and Halpern [2018] showed how to combine causal models that are compatible in the sense that, for variables that appear in both models, the experts agree on the causal structure. In this work we show how causal models can be combined in cases where the experts might disagree on the causal structure for variables that appear in both models due to having different focus areas. We provide a new formal definition of compatibility of models in this setting and show how compatible models can be combined. We also consider the complexity of determining whether models are compatible. We believe that the notions defined in this work are of direct relevance to many practical decision making scenarios that come up in natural, social, and medical science settings.
