Weighted Defeasible Knowledge Bases and a Multipreference Semantics for a Deep Neural Network Model
نویسندگان
چکیده
In this paper we investigate the relationships between a multipreferential semantics for defeasible reasoning in knowledge representation and deep neural network model. Weighted bases description logics are considered under “concept-wise” multipreference semantics. The is further extended to fuzzy interpretations exploited provide preferential interpretation of Multilayer Perceptrons, some condition.
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ژورنال
عنوان ژورنال: Lecture Notes in Computer Science
سال: 2021
ISSN: ['1611-3349', '0302-9743']
DOI: https://doi.org/10.1007/978-3-030-75775-5_16