A multipreference semantics from common sense reasoning to neural network models: An overview

Laura Giordano; Valentina Gliozzi; Daniele Theseider Dupré

A multipreference semantics from common sense reasoning to neural network models: An overview

Dipartimento di Scienze e Innovazione Tecnologica

Risultato della ricerca: Contributo su rivista › Articolo da conferenza › peer review

Abstract

In this short paper we report about a "concept-wise" multipreference semantics for weighted conditionals and its use to provide a logical interpretation to some neural network models, Self-Organising Maps (SOMs) and Multilayer Perceptrons (MLPs). For MLPs, a deep network can be regarded as a conditional knowledge base, in which the synaptic connections correspond to weighted conditionals.

Lingua originale	Inglese
Rivista	CEUR Workshop Proceedings
Volume	2969
Stato di pubblicazione	Pubblicato - 2021
Evento	Joint Ontology Workshops 2021 Episode VII: The Bolzano Summer of Knowledge, JOWO 2021 - Bolzano, Italy Durata: 11 set 2021 → 18 set 2021

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abstract = "In this short paper we report about a {"}concept-wise{"} multipreference semantics for weighted conditionals and its use to provide a logical interpretation to some neural network models, Self-Organising Maps (SOMs) and Multilayer Perceptrons (MLPs). For MLPs, a deep network can be regarded as a conditional knowledge base, in which the synaptic connections correspond to weighted conditionals.",

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author = "Laura Giordano and Valentina Gliozzi and Dupr{\'e}, \{Daniele Theseider\}",

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AU - Gliozzi, Valentina

AU - Dupré, Daniele Theseider

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N2 - In this short paper we report about a "concept-wise" multipreference semantics for weighted conditionals and its use to provide a logical interpretation to some neural network models, Self-Organising Maps (SOMs) and Multilayer Perceptrons (MLPs). For MLPs, a deep network can be regarded as a conditional knowledge base, in which the synaptic connections correspond to weighted conditionals.

AB - In this short paper we report about a "concept-wise" multipreference semantics for weighted conditionals and its use to provide a logical interpretation to some neural network models, Self-Organising Maps (SOMs) and Multilayer Perceptrons (MLPs). For MLPs, a deep network can be regarded as a conditional knowledge base, in which the synaptic connections correspond to weighted conditionals.

KW - Common Sense Reasoning

KW - Neural Network models

KW - Preferential semantics

KW - Typicality in Description Logics

UR - https://www.scopus.com/pages/publications/85117038592

M3 - Conference article

AN - SCOPUS:85117038592

SN - 1613-0073

VL - 2969

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

Y2 - 11 September 2021 through 18 September 2021

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A multipreference semantics from common sense reasoning to neural network models: An overview

Abstract

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