Probabilistic Knowledge and Cognitive Ability
- Submitting institution
-
University of Bristol
- Unit of assessment
- 30 - Philosophy
- Output identifier
- 166397851
- Type
- D - Journal article
- DOI
-
10.1215/00318108-3624754
- Title of journal
- Philosophical Review
- Article number
- -
- First page
- 509
- Volume
- 125
- Issue
- 4
- ISSN
- 0031-8108
- Open access status
- Out of scope for open access requirements
- Month of publication
- October
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
0
- Research group(s)
-
-
- Proposed double-weighted
- Yes
- Double-weighted statement
- This is a major study that integrates insights from formal epistemology and statistics on the one hand and traditional epistemology on the other. It first elucidates what it takes to know, for example, that a vaccine is probably effective (what Sarah Moss calls “probabilistic knowledge”). Then it develops tools that can help us acquire such knowledge. This work advances traditional epistemology (by developing the theory of probabilistic knowledge), formal epistemology (by providing new tools for selecting “prior probabilities”) and illuminates how the two fields can inform one another. It is the culmination of 5 years of interdisciplinary work.
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
