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

Laura GIORDANO; V. Gliozzi; Daniele THESEIDER DUPRE'

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

Dipartimento di Scienze e Innovazione Tecnologica

Risultato della ricerca: Contributo alla conferenza › Contributo in Atti di Convegno › 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	83-89
Numero di pagine	7
Stato di pubblicazione	Pubblicato - 2021
Evento	3rd Workshop on Artificial Intelligence and Formal Verification, Logic, Automata, and Synthesis, OVERLAY 2021 - ita Durata: 1 gen 2021 → …

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???event.eventtypes.event.conference???	3rd Workshop on Artificial Intelligence and Formal Verification, Logic, Automata, and Synthesis, OVERLAY 2021
Città	ita
Periodo	1/01/21 → …

Keywords

Common sense reasoning
Neural networks
Preferential semantics
Weighted conditionals

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http://hdl.handle.net/11579/135287

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

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

year = "2021",

language = "English",

pages = "83--89",

note = "3rd Workshop on Artificial Intelligence and Formal Verification, Logic, Automata, and Synthesis, OVERLAY 2021 ; Conference date: 01-01-2021",

}

Preferential reasoning with typicality and neural network models (Extended abstract). / GIORDANO, Laura; Gliozzi, V.; THESEIDER DUPRE', Daniele.
2021. 83-89 Articolo presentato al 3rd Workshop on Artificial Intelligence and Formal Verification, Logic, Automata, and Synthesis, OVERLAY 2021, ita.

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

TY - CONF

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

AU - GIORDANO, Laura

AU - Gliozzi, V.

AU - THESEIDER DUPRE', Daniele

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

KW - Common sense reasoning

KW - Neural networks

KW - Preferential semantics

KW - Weighted conditionals

UR - https://iris.uniupo.it/handle/11579/135287

M3 - Paper

SP - 83

EP - 89

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

Y2 - 1 January 2021

ER -

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

Abstract

???event.eventtypes.event.conference???

Keywords

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