论文标题
深度神经网络模型的加权不性知识库和多重语义
Weighted defeasible knowledge bases and a multipreference semantics for a deep neural network model
论文作者
论文摘要
在本文中，我们研究了知识表示中不可行的推理与深层神经网络模型之间的多条款语义之间的关系。描述逻辑的加权知识库在“概念”的多重语义下被视为。语义进一步扩展到模糊解释，并利用以提供对多层感知的优先解释。
In this paper we investigate the relationships between a multipreferential semantics for defeasible reasoning in knowledge representation and a deep neural network model. Weighted knowledge bases for description logics are considered under a "concept-wise" multipreference semantics. The semantics is further extended to fuzzy interpretations and exploited to provide a preferential interpretation of Multilayer Perceptrons.
