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In data we trust: the logic of trust-based beliefs

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.

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2022-ijcai-jn-trust - Version of Record
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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
ORCID for Pavel Naumov: ORCID iD orcid.org/0000-0003-1687-045X

Catalogue record

Date deposited: 19 May 2022 16:49
Last modified: 17 Mar 2024 04:10

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Contributors

Author: Junli Jiang
Author: Pavel Naumov ORCID iD

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