A logic of trust-based beliefs
Bibliographic Data
| ID | 10812484 |
|---|---|
| Authors | Junli Jiang (0000-0003-2865-5642, Southwest University), Pavel Naumov (0000-0003-1687-045X, University of Southampton, corresponding author) |
| Year | 2024 |
| Volume | 204 |
| Issue | 2 |
| Publication date | 2024-07-18 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Synthese (JOURNAL) |
| Journal identifiers | ISSN: 0039-7857 • E-ISSN: 1573-0964 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11229-024-04671-3 |
| OpenAlex | W4400769069 |
| Language | EN |
| References cited | 27 |
Traditionally, 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
Belief revision · Connection (principal bundle) · Core (optical fiber) · Dependency (UML) · Epistemic modality · Epistemology · Logical consequence · Metaphysics · Modality (human–computer interaction) · Philosophy of language · Philosophy of science · Proposition · Artificial Intelligence · Bayesian Modeling and Causal Inference · Computer Science · Logic, Reasoning, and Knowledge · Mathematics · Philosophy · Psychology · Semantic Web and Ontologies
| Highly cited | No |
|---|