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Knowledge from Probability

arXiv 2106.11501 ↗First posted 22 Jun 2021cs.LO cs.AIcited by 1

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Abstract (arXiv)

We give a probabilistic analysis of inductive knowledge and belief and explore its predictions concerning knowledge about the future, about laws of nature, and about the values of inexactly measured quantities. The analysis combines a theory of knowledge and belief formulated in terms of relations of comparative normality with a probabilistic reduction of those relations. It predicts that only highly probable propositions are believed, and that many widely held principles of belief-revision fail.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 0 of its 66 references that are in the map. First posted on arXiv 22 Jun 2021.

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