Weighted defeasible knowledge bases and a multipreference semantics for a deep neural network model

December 24, 2020 Β· Declared Dead Β· πŸ› European Conference on Logics in Artificial Intelligence

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Authors Laura Giordano, Daniele Theseider DuprΓ© arXiv ID 2012.13421 Category cs.AI: Artificial Intelligence Cross-listed cs.NE Citations 38 Venue European Conference on Logics in Artificial Intelligence Last Checked 4 months ago
Abstract
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.
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