Logic-Based Probabilistic Modeling

Logic-Based Probabilistic Modeling
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DOI:
10.1007/978-3-642-02261-6_6
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发表时间:
2009-06
期刊:
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影响因子:
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通讯作者:
Taisuke Sato
Taisuke Sato
中科院分区:
其他
文献类型:
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作者:
Taisuke Sato

文献摘要

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在简要介绍了PLL/ SRL的历史背景之后,我们研究了PRISM,一种基于逻辑的建模语言,作为PLL/SRL研究的一个实例。我们首先看看分布语义,PRISM的语义,它定义了一组可能的Herbrand模型的概率测度。然后,我们提到PRISM作为概率建模工具的特征。
After briefly mentioning the historical background of PLL/ SRL, we examine PRISM, a logic-based modeling language, as an instance of PLL/SRL research. We first look at the distribution semantics, PRISM’s semantics, which defines a probability measure on a set of possible Herbrand models. We then mention characteristic features of PRISM as a tool for probabilistic modeling.