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- W4225512364 abstract "Tractable Boolean and arithmetic circuits have been studied extensively in AI for over two decades now. These circuits were initially proposed as compiled objects, meant to facilitate logical and probabilistic reasoning, as they permit various types of inference to be performed in linear-time and a feed-forward fashion like neural networks. In more recent years, the role of tractable circuits has significantly expanded as they became a computational and semantical backbone for some approaches that aim to integrate knowledge, reasoning and learning. In this article, we review the foundations of tractable circuits and some associated milestones, while focusing on their core properties and techniques that make them particularly useful for the broad aims of neuro-symbolic AI." @default.
- W4225512364 created "2022-05-05" @default.
- W4225512364 creator A5027252816 @default.
- W4225512364 date "2022-02-07" @default.
- W4225512364 modified "2023-09-24" @default.
- W4225512364 title "Tractable Boolean and Arithmetic Circuits" @default.
- W4225512364 doi "https://doi.org/10.48550/arxiv.2202.02942" @default.
- W4225512364 hasPublicationYear "2022" @default.
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