A preferential interpretation of MultiLayer Perceptrons in a conditional logic with typicality

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Abstract

In this paper we investigate the relationships between a multipreferential semantics for defeasible reasoning in knowledge representation and a multilayer neural network model. Weighted knowledge bases for a simple description logic with typicality are considered under a (many-valued) “concept-wise” multipreference semantics. The semantics is used to provide a preferential interpretation of MultiLayer Perceptrons (MLPs). A model checking and an entailment based approach are exploited in the verification of conditional properties of MLPs.

Lingua originaleInglese
Numero di articolo109065
RivistaInternational Journal of Approximate Reasoning
Volume164
DOI
Stato di pubblicazionePubblicato - gen 2024

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