Williamson, J. (2007) Inductive influence. British Journal for the Philosophy of Science, 58 (4). pp. 689-708. ISSN 0007-0882.
|
PDF
Restricted to Registered users only |
|
|
| Contact us about this Publication
Download (513Kb)
|
![[img]](http://kar.kent.ac.uk/style/images/fileicons/application_pdf.png) |
| Official URL http://dx.doi.org/10.1093/bjps/axm032 |
|
Abstract
Objective Bayesianism has been criticised for not allowing learning from experience: it is claimed that an agent must give degree of belief 12 to the next raven being black, however many other black ravens have been observed. I argue that this objection can be overcome by appealing to objective Bayesian nets, a formalism for representing objective Bayesian degrees of belief. Under this account, previous observations exert an inductive influence on the next observation. I show how this approach can be used to capture the Johnson-Carnap continuum of inductive methods, as well as the Nix-Paris continuum, and show how inductive influence can be measured.
| Item Type: | Article |
|---|---|
| Additional information: | This paper demonstrated that it is, after all, possible for the objective Bayesian to learn from experience. |
| Subjects: | B Philosophy. Psychology. Religion > B Philosophy (General) |
| Divisions: | Faculties > Humanities > School of European Culture and Languages |
| Depositing User: | Maureen Nunn |
| Date Deposited: | 19 Dec 2007 18:50 |
| Last Modified: | 20 Jan 2012 15:11 |
| Resource URI: | http://kar.kent.ac.uk/id/eprint/1292 (The current URI for this page, for reference purposes) |
- Depositors only (login required):
