A labelling framework for probabilistic argumentation. / Riveret, Régis; Baroni, Pietro; Gao, Yang; Governatori, Guido; Rotolo, Antonino; Sartor, Giovanni.

In: Annals of Mathematics and Artificial Intelligence, Vol. 83, No. 1, 05.2018, p. 21-71.

Research output: Contribution to journalArticlepeer-review

Published

Standard

A labelling framework for probabilistic argumentation. / Riveret, Régis; Baroni, Pietro; Gao, Yang; Governatori, Guido; Rotolo, Antonino; Sartor, Giovanni.

In: Annals of Mathematics and Artificial Intelligence, Vol. 83, No. 1, 05.2018, p. 21-71.

Research output: Contribution to journalArticlepeer-review

Harvard

Riveret, R, Baroni, P, Gao, Y, Governatori, G, Rotolo, A & Sartor, G 2018, 'A labelling framework for probabilistic argumentation', Annals of Mathematics and Artificial Intelligence, vol. 83, no. 1, pp. 21-71. https://doi.org/10.1007/s10472-018-9574-1

APA

Riveret, R., Baroni, P., Gao, Y., Governatori, G., Rotolo, A., & Sartor, G. (2018). A labelling framework for probabilistic argumentation. Annals of Mathematics and Artificial Intelligence, 83(1), 21-71. https://doi.org/10.1007/s10472-018-9574-1

Vancouver

Riveret R, Baroni P, Gao Y, Governatori G, Rotolo A, Sartor G. A labelling framework for probabilistic argumentation. Annals of Mathematics and Artificial Intelligence. 2018 May;83(1):21-71. https://doi.org/10.1007/s10472-018-9574-1

Author

Riveret, Régis ; Baroni, Pietro ; Gao, Yang ; Governatori, Guido ; Rotolo, Antonino ; Sartor, Giovanni. / A labelling framework for probabilistic argumentation. In: Annals of Mathematics and Artificial Intelligence. 2018 ; Vol. 83, No. 1. pp. 21-71.

BibTeX

@article{bb16338d02284c819d7be059d03a444c,
title = "A labelling framework for probabilistic argumentation",
abstract = "The combination of argumentation and probability paves the way to new accounts of qualitative and quantitative uncertainty, thereby offering new theoretical and applicative opportunities. Due to a variety of interests, probabilistic argumentation is approached in the literature with different frameworks, pertaining to structured and abstract argumentation, and with respect to diverse types of uncertainty, in particular the uncertainty on the credibility of the premises, the uncertainty about which arguments to consider, and the uncertainty on the acceptance status of arguments or statements. Towards a general framework for probabilistic argumentation, we investigate a labelling-oriented framework encompassing a basic setting for rule-based argumentation and its (semi-) abstract account, along with diverse types of uncertainty. Our framework provides a systematic treatment of various kinds of uncertainty and of their relationships and allows us to back or question assertions from the literature.",
author = "R{\'e}gis Riveret and Pietro Baroni and Yang Gao and Guido Governatori and Antonino Rotolo and Giovanni Sartor",
year = "2018",
month = may,
doi = "10.1007/s10472-018-9574-1",
language = "English",
volume = "83",
pages = "21--71",
journal = "Annals of Mathematics and Artificial Intelligence",
issn = "1012-2443",
publisher = "Springer Netherlands",
number = "1",

}

RIS

TY - JOUR

T1 - A labelling framework for probabilistic argumentation

AU - Riveret, Régis

AU - Baroni, Pietro

AU - Gao, Yang

AU - Governatori, Guido

AU - Rotolo, Antonino

AU - Sartor, Giovanni

PY - 2018/5

Y1 - 2018/5

N2 - The combination of argumentation and probability paves the way to new accounts of qualitative and quantitative uncertainty, thereby offering new theoretical and applicative opportunities. Due to a variety of interests, probabilistic argumentation is approached in the literature with different frameworks, pertaining to structured and abstract argumentation, and with respect to diverse types of uncertainty, in particular the uncertainty on the credibility of the premises, the uncertainty about which arguments to consider, and the uncertainty on the acceptance status of arguments or statements. Towards a general framework for probabilistic argumentation, we investigate a labelling-oriented framework encompassing a basic setting for rule-based argumentation and its (semi-) abstract account, along with diverse types of uncertainty. Our framework provides a systematic treatment of various kinds of uncertainty and of their relationships and allows us to back or question assertions from the literature.

AB - The combination of argumentation and probability paves the way to new accounts of qualitative and quantitative uncertainty, thereby offering new theoretical and applicative opportunities. Due to a variety of interests, probabilistic argumentation is approached in the literature with different frameworks, pertaining to structured and abstract argumentation, and with respect to diverse types of uncertainty, in particular the uncertainty on the credibility of the premises, the uncertainty about which arguments to consider, and the uncertainty on the acceptance status of arguments or statements. Towards a general framework for probabilistic argumentation, we investigate a labelling-oriented framework encompassing a basic setting for rule-based argumentation and its (semi-) abstract account, along with diverse types of uncertainty. Our framework provides a systematic treatment of various kinds of uncertainty and of their relationships and allows us to back or question assertions from the literature.

U2 - 10.1007/s10472-018-9574-1

DO - 10.1007/s10472-018-9574-1

M3 - Article

VL - 83

SP - 21

EP - 71

JO - Annals of Mathematics and Artificial Intelligence

JF - Annals of Mathematics and Artificial Intelligence

SN - 1012-2443

IS - 1

ER -