In Data We Trust: The Logic of Trust-Based Beliefs

作者: Junli Jiang, Pavel Naumov

摘要

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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