arrow
Return

A probabilistic deontic argumentation framework

delete2020-11-01
delete10
delete
OA
AI
R
Régis Riveret *
N
Nir Oren
G
Giovanni Sartor
DOI:10.1016/j.ijar.2020.08.012delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
What does it mean that something is probably obligatory? And how does it relate to the probability that it is permitted or prohibited? In this paper, we provide a possible answer by merging deontic argumentation and probabilistic argumentation into a probabilistic deontic argumentation framework. This framework allows us to specify a semantics for the probability of deontic statuses. The deontic argumentation part builds on standard concepts from the study of computational models of argument: rule-based arguments, argumentation graphs, argument labelling semantics and statement labelling semantics. We then encapsulate this deontic composition with the approach of probabilistic labellings to probabilistic argumentation, in order to associate deontic statements with probability values. The framework is illustrated with a scenario featuring a violation and a contrary-to-duty obligation. (C) 2020 Elsevier Inc. All rights reserved.
Keywords:
Probabilistic argumentation
Deontic argumentation
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

International Journal of Approximate Reasoning cover
International Journal of Approximate Reasoning
IF:
3
Papers:
2.9K
Citations:
5.1K

Organization

U
University of Aberdeen
Scholars:
1.3W
Papers: 1.3W
Citations: 2.0W
U
University of Bologna
Scholars:
4.5W
Papers: 3.8W
Citations: 4.1W
researcher View more organizations