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Probabilistic logic under coherence, model-theoretic probabilistic logic, and default reasoning in System P

机译:系统P中的相干概率逻辑,模型理论概率逻辑和默认推理

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摘要

We study probabilistic logic under the viewpoint of the coherence principle of de Finetti. In detail, we explore how probabilistic reasoning under coherence is related to modeltheoretic probabilistic reasoning and to default reasoning in System P. In particular, we show that the notions of g-coherence and of g-coherent entailment can be expressed by combining notions in model-theoretic probabilistic logic with concepts from default reasoning. Moreover, we show that probabilistic reasoning under coherence is a generalization of default reasoning in System P. That is, we provide a new probabilistic semantics for System P, which neither uses infinitesimal probabilities nor atomic bound (or big-stepped) probabilities. These results also provide new algorithms for probabilistic reasoning under coherence and for default reasoning in System P, and they give new insight into default reasoning with conditional objects.
机译:我们从de Finetti的一致性原理的角度研究概率逻辑。详细地,我们探讨了相干下的概率推理如何与模型理论概率推理和系统P中的默认推理相关。特别是,我们证明了可以通过组合模型中的概念来表达g相干和g相干蕴涵的概念理论概率逻辑以及来自默认推理的概念。此外,我们证明了一致性下的概率推理是系统P中默认推理的概括。也就是说,我们为系统P提供了新的概率语义,它既不使用无穷小概率,也不使用原子界(或大步长)概率。这些结果还为相干下的概率推理和系统P中的默认推理提供了新的算法,并且为使用条件对象的默认推理提供了新的见解。

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