Williamson, J. (2008) Objective Bayesianism with predicate languages. In: Conference on Experimental Reasoning, Reliability, Objectivity, and Rationality - Induction, Statistics, and Modeling (ERROR 2006), June 2006, Virginia Tech, Blacksburg, VA.
| The full text of this publication is not available from this repository. (Contact us about this Publication) | |
| Official URL http://www.springerlink.com/content/d65205813m5221... |
Abstract
Objective Bayesian probability is often defined over rather simple domains, e.g., finite event spaces or propositional languages. This paper investigates the extension of objective Bayesianism to first-order logical languages. It is argued that the objective Bayesian should choose a probability function, from all those that satisfy constraints imposed by background knowledge, that is closest to a particular frequency-induced probability function which generalises the λ = 0 function of Carnap’s continuum of inductive methods.
| Item Type: | Conference or workshop item (Paper) |
|---|---|
| Uncontrolled keywords: | Bayesianism; objective Bayesianism; Bayesian epistemology; formal epistemology; inductive logic; probabilistic logic |
| Subjects: | B Philosophy. Psychology. Religion > B Philosophy (General) B Philosophy. Psychology. Religion > BC Logic Q Science > QA Mathematics (inc Computing science) > QA273 Probabilities |
| Divisions: | Faculties > Humanities > School of European Culture and Languages |
| Depositing User: | Jon Williamson |
| Date Deposited: | 18 Mar 2009 17:10 |
| Last Modified: | 20 Jan 2012 15:00 |
| Resource URI: | http://kar.kent.ac.uk/id/eprint/9587 (The current URI for this page, for reference purposes) |
- Depositors only (login required):
