Weighted Defeasible Knowledge Bases and a Multipreference Semantics for a Deep Neural Network Model

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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, under some condition.

Lingua originaleInglese
Titolo della pubblicazione ospiteLogics in Artificial Intelligence - 17th European Conference, JELIA 2021, Proceedings
EditorWolfgang Faber, Gerhard Friedrich, Martin Gebser, Michael Morak
EditoreSpringer Science and Business Media Deutschland GmbH
Pagine225-242
Numero di pagine18
ISBN (stampa)9783030757748
DOI
Stato di pubblicazionePubblicato - 2021
Evento17th European Conference on Logics in Artificial Intelligence, JELIA 2021 - Virtual, Online
Durata: 17 mag 202120 mag 2021

Serie di pubblicazioni

NomeLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12678 LNAI
ISSN (stampa)0302-9743
ISSN (elettronico)1611-3349

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???event.eventtypes.event.conference???17th European Conference on Logics in Artificial Intelligence, JELIA 2021
CittàVirtual, Online
Periodo17/05/2120/05/21

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