Typicality, Conditionals and a Probabilistic Semantics for Gradual Argumentation

Mario Alviano; Laura Giordano; Daniele Theseider Dupré

Typicality, Conditionals and a Probabilistic Semantics for Gradual Argumentation

Dipartimento di Scienze e Innovazione Tecnologica

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

Abstract

In this paper we propose a general approach to define a many-valued preferential interpretation of gradual argumentation semantics. The approach allows for conditional reasoning over arguments and boolean combination of arguments, with respect to some chosen gradual semantics, through the verification of graded (strict or defeasible) implications over a preferential interpretation. The paper also develops and discusses a probabilistic semantics for gradual argumentation, which builds on the many-valued conditional semantics.

Lingua originale	Inglese
pagine (da-a)	4-13
Numero di pagine	10
Rivista	CEUR Workshop Proceedings
Volume	3464
Stato di pubblicazione	Pubblicato - 2023
Evento	21st International Workshop on Non-Monotonic Reasoning, NMR 2023 - Rhodes, Greece Durata: 2 set 2023 → 4 set 2023

Altri file e collegamenti

Link to publication in Scopus

Cita questo

@article{b8894fba2fc4460a8b57a82f187ca605,

title = "Typicality, Conditionals and a Probabilistic Semantics for Gradual Argumentation",

abstract = "In this paper we propose a general approach to define a many-valued preferential interpretation of gradual argumentation semantics. The approach allows for conditional reasoning over arguments and boolean combination of arguments, with respect to some chosen gradual semantics, through the verification of graded (strict or defeasible) implications over a preferential interpretation. The paper also develops and discusses a probabilistic semantics for gradual argumentation, which builds on the many-valued conditional semantics.",

author = "Mario Alviano and Laura Giordano and Dupr{\'e}, \{Daniele Theseider\}",

note = "Publisher Copyright: {\textcopyright} 2023 Copyright for this paper by its authors.; 21st International Workshop on Non-Monotonic Reasoning, NMR 2023 ; Conference date: 02-09-2023 Through 04-09-2023",

year = "2023",

language = "English",

volume = "3464",

pages = "4--13",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

}

TY - JOUR

T1 - Typicality, Conditionals and a Probabilistic Semantics for Gradual Argumentation

AU - Alviano, Mario

AU - Giordano, Laura

AU - Dupré, Daniele Theseider

PY - 2023

Y1 - 2023

N2 - In this paper we propose a general approach to define a many-valued preferential interpretation of gradual argumentation semantics. The approach allows for conditional reasoning over arguments and boolean combination of arguments, with respect to some chosen gradual semantics, through the verification of graded (strict or defeasible) implications over a preferential interpretation. The paper also develops and discusses a probabilistic semantics for gradual argumentation, which builds on the many-valued conditional semantics.

AB - In this paper we propose a general approach to define a many-valued preferential interpretation of gradual argumentation semantics. The approach allows for conditional reasoning over arguments and boolean combination of arguments, with respect to some chosen gradual semantics, through the verification of graded (strict or defeasible) implications over a preferential interpretation. The paper also develops and discusses a probabilistic semantics for gradual argumentation, which builds on the many-valued conditional semantics.

UR - https://www.scopus.com/pages/publications/85171626883

M3 - Conference article

AN - SCOPUS:85171626883

SN - 1613-0073

VL - 3464

SP - 4

EP - 13

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 21st International Workshop on Non-Monotonic Reasoning, NMR 2023

Y2 - 2 September 2023 through 4 September 2023

ER -

Typicality, Conditionals and a Probabilistic Semantics for Gradual Argumentation

Abstract

Altri file e collegamenti

Fingerprint

Cita questo