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

• URL: http://arxiv.org/abs/2012.13421v2
• Date: Mon, 25 Jan 2021 18:11:00 GMT
• Title: Weighted defeasible knowledge bases and a multipreference semantics for a deep neural network model
• Authors: Laura Giordano and Daniele Theseider Dupr\'e
• Abstract summary: 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.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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