IJCAI 2022poster5 citations
In Data We Trust: The Logic of Trust-Based Beliefs
Abstract
The paper proposes a data-centred approach to reasoning about the interplay between trust and beliefs. At its core, is the modality "under the assumption that one dataset is trustworthy, another dataset informs a belief in a statement". The main technical result is a sound and complete logical system capturing the properties of this modality.
Knowledge Representation and Reasoning: Reasoning about Knowledge and Belief
BibTeX
@inproceedings{ijcai2022p372,
title = {In Data We Trust: The Logic of Trust-Based Beliefs},
author = {Jiang, Junli and Naumov, Pavel},
booktitle = {Proceedings of the Thirty-First International Joint Conference on
Artificial Intelligence, {IJCAI-22}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Lud De Raedt},
pages = {2683--2689},
year = {2022},
month = {7},
note = {Main Track},
doi = {10.24963/ijcai.2022/372},
url = {https://doi.org/10.24963/ijcai.2022/372},
}