In data we trust: the logic of trust-based beliefs
In data we trust: the logic of trust-based beliefs
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.
Jiang, Junli
46fed9d5-30a9-40d9-9d6c-5fb2fd159992
Naumov, Pavel
8b6c40fb-b199-44d5-a8e2-0ebd021566b0
Jiang, Junli
46fed9d5-30a9-40d9-9d6c-5fb2fd159992
Naumov, Pavel
8b6c40fb-b199-44d5-a8e2-0ebd021566b0
Jiang, Junli and Naumov, Pavel
(2022)
In data we trust: the logic of trust-based beliefs.
In 31st International Joint Conference on Artificial Intelligence (IJCAI-22).
(In Press)
Record type:
Conference or Workshop Item
(Paper)
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.
Text
2022-ijcai-jn-trust
- Version of Record
More information
Accepted/In Press date: 20 April 2022
Identifiers
Local EPrints ID: 457024
URI: http://eprints.soton.ac.uk/id/eprint/457024
PURE UUID: 9df62ffb-5830-4d79-9ddc-31e93c0a06c9
Catalogue record
Date deposited: 19 May 2022 16:49
Last modified: 17 Mar 2024 04:10
Export record
Contributors
Author:
Junli Jiang
Author:
Pavel Naumov
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics