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arXiv · 2012.13421

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

Laura Giordano·Daniele Theseider Dupré
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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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Laura Giordano, Daniele Theseider Dupré. 2020-12-24. Weighted defeasible knowledge bases and a multipreference semantics for a deep neural network model. https://arxiv.org/abs/2012.13421

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