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Logic, Probability and Computation:Foundations and Issues of Statistical Relational AI

机译:逻辑,概率与计算:统计关系AI的基础和问题

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Over the last 25 years there has been considerable body of research into combinations of predicate logic and probability forming what has become known as (perhaps misleadingly) statistical relational artificial intelligence (StaR-AI). I overview the foundations of the area, give some research problems, proposed solutions, outstanding issues, and clear up some misconceptions that have arisen. I discuss representations, semantics, inference and learning, and provide some references to the literature. This is intended to be an overview of foundations, not a survey of research results.
机译:在过去的25年中,对于谓词逻辑和概率形成的组合进行了大量的研究,形成了(可能误导性的)统计关系人工智能(StaR-AI)。我概述了该领域的基础,给出了一些研究问题,建议的解决方案,突出的问题,并消除了一些误解。我讨论了表示形式,语义,推理和学习,并提供了一些文献参考。本文旨在作为基础概述,而不是对研究结果的调查。

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