Williamson, J. (2008) Objective Bayesian probabilistic logic. Journal of Algorithms, 63 (4). pp. 167-183. ISSN 0196-6774 .
|The full text of this publication is not available from this repository. (Contact us about this Publication)|
This paper develops connections between objective Bayesian epistemology - which holds that the strengths of an agent's beliefs should be representable by probabilities, should be calibrated with evidence of empirical probability, and should otherwise be equivocal - and probabilistic logic. After introducing objective Bayesian epistemology over propositional languages, the formalism is extended to handle predicate languages. A rather general probabilistic logic is formulated and then given a natural semantics in terms of objective Bayesian epistemology. The machinery of objective Bayesian nets and objective credal nets is introduced and this machinery is applied to provide a calculus for probabilistic logic that meshes with the objective Bayesian semantics.
|Uncontrolled keywords:||Objective Bayesianism; Maximum entropy; Maxent; Probabilistic logic; Probability logic; Bayesian network; Bayesian net; Credal network; Credal net|
|Subjects:||B Philosophy. Psychology. Religion > B Philosophy (General)
B Philosophy. Psychology. Religion > BC Logic
|Divisions:||Faculties > Humanities > School of European Culture and Languages|
|Depositing User:||Jon Williamson|
|Date Deposited:||21 Jul 2009 10:13|
|Last Modified:||20 Jan 2012 15:04|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/20878 (The current URI for this page, for reference purposes)|
- Depositors only (login required):