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Conditioning and Interpretation Shifts

机译:条件和解释转移

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This paper develops a probabilistic model of belief change under interpretation shifts, in the context of a problem case from dynamic epistemic logic. Van Benthem [4] has shown that a particular kind of belief change, typical for dynamic epistemic logic, cannot be modelled by standard Bayesian conditioning. I argue that the problems described by van Benthem come about because the belief change alters the semantics in which the change is supposed to be modelled: the new information induces a shift in the interpretation of the sentences. In this paper I show that interpretation shifts can be modeled in terms of updating by conditioning. The model derives from the knowledge structures developed by Fagin et al [8], and hinges on a distinction between the propositional and informational content of sentences. Finally, I show that Dempster-Shafer theory provides the appropriate probability kinematics for the model.
机译:在动态认知逻辑的问题案例的背景下,本文建立了一种解释转变下的信念变化的概率模型。 Van Benthem [4]表明,一种特殊的信念变化,通常是动态认知逻辑的,不能用标准的贝叶斯条件来建模。我认为,范本瑟姆描述的问题之所以出现,是因为信念的变化改变了应该以这种变化为模型的语义:新信息引起了句子解释的转变。在本文中,我表明可以通过条件更新来对解释移位进行建模。该模型源自Fagin等人[8]开发的知识结构,并取决于句子的命题内容和信息内容之间的区别。最后,我证明了Dempster-Shafer理论为模型提供了适当的概率运动学。

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