Abstract
AbstractTraditionally, knowledge and beliefs are attributed to agents. The article explores an alternative approach where knowledge is informed by data and belief comes from trust in, not necessarily reliable, data. At the core of the article is the modality “if one dataset is trusted, then another dataset informs a belief”. The main technical result is a sound and complete logical system capturing the properties of this modality and its connection with functional dependency between datasets.
Funder
Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China
Fundamental Research Funds for the Central Universities
China Scholarship Council
Publisher
Springer Science and Business Media LLC
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