|Daniele Theseider Dupré
|Weighted defeasible knowledge bases and a multipreference semantics for a deep neural network model
|DiSIT, Computer Science Institute, UPO
|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.