Preferential reasoning with typicality and neural network models (Extended abstract)

Laura Giordano; Valentina Gliozzi; Daniele Theseider Dupré

Preferential reasoning with typicality and neural network models (Extended abstract)

Dipartimento di Scienze e Innovazione Tecnologica

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

Abstract

In this extended abstract we report some results concerning the relationships between a multipreferentia semantics for defeasible reasoning in knowledge representation and some neural network models, namel Self-Organising Maps and Multilayer Perceptrons.

Lingua originale	Inglese
pagine (da-a)	83-89
Numero di pagine	7
Rivista	CEUR Workshop Proceedings
Volume	2987
Stato di pubblicazione	Pubblicato - 2021
Evento	3rd Workshop on Artificial Intelligence and Formal Verification, Logic, Automata, and Synthesis, OVERLAY 2021 - Padua, Italy Durata: 22 set 2021 → …

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title = "Preferential reasoning with typicality and neural network models (Extended abstract)",

abstract = "In this extended abstract we report some results concerning the relationships between a multipreferentia semantics for defeasible reasoning in knowledge representation and some neural network models, namel Self-Organising Maps and Multilayer Perceptrons.",

keywords = "Common sense reasoning, Neural networks, Preferential semantics, Weighted conditionals",

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

note = "Publisher Copyright: {\textcopyright} 2021 Copyright for this paper by its authors.; 3rd Workshop on Artificial Intelligence and Formal Verification, Logic, Automata, and Synthesis, OVERLAY 2021 ; Conference date: 22-09-2021",

year = "2021",

language = "English",

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T1 - Preferential reasoning with typicality and neural network models (Extended abstract)

AU - Giordano, Laura

AU - Gliozzi, Valentina

AU - Dupré, Daniele Theseider

PY - 2021

Y1 - 2021

N2 - In this extended abstract we report some results concerning the relationships between a multipreferentia semantics for defeasible reasoning in knowledge representation and some neural network models, namel Self-Organising Maps and Multilayer Perceptrons.

AB - In this extended abstract we report some results concerning the relationships between a multipreferentia semantics for defeasible reasoning in knowledge representation and some neural network models, namel Self-Organising Maps and Multilayer Perceptrons.

KW - Common sense reasoning

KW - Neural networks

KW - Preferential semantics

KW - Weighted conditionals

UR - https://www.scopus.com/pages/publications/85118219736

M3 - Conference article

AN - SCOPUS:85118219736

SN - 1613-0073

VL - 2987

SP - 83

EP - 89

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 3rd Workshop on Artificial Intelligence and Formal Verification, Logic, Automata, and Synthesis, OVERLAY 2021

Y2 - 22 September 2021

ER -

Preferential reasoning with typicality and neural network models (Extended abstract)

Abstract

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