Weighted defeasible knowledge bases and a multipreference semantics for a deep neural network model
December 24, 2020 Β· Declared Dead Β· π 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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