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

Laura GIORDANO; Daniele THESEIDER DUPRE'

doi:10.1007/978-3-030-75775-5_16

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

Dipartimento di Scienze e Innovazione Tecnologica

Risultato della ricerca: Contributo alla conferenza › Contributo in Atti di Convegno › peer review

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 originale	Inglese
Pagine	225-242
Numero di pagine	18
DOI	https://doi.org/10.1007/978-3-030-75775-5_16
Stato di pubblicazione	Pubblicato - 1 gen 2021
Evento	17th European Conference on Logics in Artiﬁcial Intelligence, JELIA 2021 - Virtual Event Durata: 1 gen 2021 → …

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???event.eventtypes.event.conference???	17th European Conference on Logics in Artiﬁcial Intelligence, JELIA 2021
Città	Virtual Event
Periodo	1/01/21 → …

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10.1007/978-3-030-75775-5_16

http://hdl.handle.net/11579/131792

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title = "Weighted Defeasible Knowledge Bases and a Multipreference Semantics for a Deep Neural Network Model",

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author = "Laura GIORDANO and \{THESEIDER DUPRE'\}, Daniele",

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doi = "10.1007/978-3-030-75775-5\_16",

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Weighted Defeasible Knowledge Bases and a Multipreference Semantics for a Deep Neural Network Model. / GIORDANO, Laura ; THESEIDER DUPRE', Daniele.
2021. 225-242 Articolo presentato al 17th European Conference on Logics in Artiﬁcial Intelligence, JELIA 2021, Virtual Event.

Risultato della ricerca: Contributo alla conferenza › Contributo in Atti di Convegno › peer review

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

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