Loading...
Please wait, while we are loading the content...
Similar Documents
Learning by Ignoring the Most Wrong
| Content Provider | Scilit |
|---|---|
| Author | Bradley, Seamus |
| Copyright Year | 2021 |
| Abstract | Imprecise probabilities (IP) are an increasingly popular way of reasoning about rational credence. However they are subject to an apparent failure to display convincing inductive learning. This paper demonstrates that a small modification to the update rule for IP allows us to overcome this problem, albeit at the cost of satisfying only a weaker concept of coherence. |
| Related Links | https://www.degruyter.com/document/doi/10.1515/krt-2021-0028/pdf |
| ISSN | 2750977X |
| DOI | 10.1515/krt-2021-0028 |
| Journal | KRITERION – Journal of Philosophy |
| Issue Number | 1 |
| Volume Number | 36 |
| Language | English |
| Publisher | Walter de Gruyter GmbH |
| Publisher Date | 2021-12-24 |
| Access Restriction | Open |
| Subject Keyword | Kriterion – Journal of Philosophy Mathematical Social Sciences Imprecise Probability Formal Epistemology Probability Theory Journal: KRITERION – Journal of Philosophy, Vol- 36 |
| Content Type | Text |
| Resource Type | Article |