We present Probabilistic Decision Model and Notation (pDMN), a probabilistic extension of Decision Model and Notation (DMN). DMN is a modeling notation for deterministic decision logic, which intends to be user-friendly and low in complexity. pDMN extends DMN with probabilistic reasoning, predicates, functions, quantification, and a new hit policy. At the same time, it aims to retain DMN's user-friendliness to allow its usage by domain experts without the help of IT staff. pDMN models can be unambiguously translated into ProbLog programs to answer user queries. ProbLog is a probabilistic extension of Prolog flexibly enough to model and reason over any pDMN model.
翻译：我们提出了概率判断模型和标记(pDMN),这是决定模型和标记(DMN)的概率延伸。 DMN是确定性判断逻辑的模型,意在方便用户和低复杂性。 PDMN以概率推理、前提、功能、量化和新的打击政策扩展DMN。与此同时,它旨在保留DMN的用户友好度,以便让域专家在没有信息技术工作人员帮助的情况下使用DMN。 PDMN模型可以毫不含糊地翻译成ProbLog程序以回答用户问询。ProbLog是Prolog的概率延伸,足以为任何PDMN模型建模和解释。
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