The extended abstract (an abridged version of [1]) reports about our work investigating the relationships between a multi-preferential 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 properties of neural networks for the recognition of basic emotions.
Verifying Properties of a MultiLayer Network for the Recognition of Basic Emotions in a Conditional DL with Typicality (Extended Abstract)
Alviano M.;
2024-01-01
Abstract
The extended abstract (an abridged version of [1]) reports about our work investigating the relationships between a multi-preferential 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 properties of neural networks for the recognition of basic emotions.File in questo prodotto:
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