Repository | Journal | Volume | Articles
(2014) Synthese 191 (16).
There are some candidates that have been thought to measure the degree to which evidence incrementally confirms a hypothesis. This paper provides an argument for one candidate—the log-likelihood ratio measure. For this purpose, I will suggest a plausible requirement that I call the Requirement of Collaboration. And then, it will be shown that, of various candidates, only the log-likelihood ratio measure (l) satisfies this requirement. Using this result, Jeffrey conditionalization will be reformulated so as to disclose explicitly what determines new credences after experience.
Publication details
DOI: 10.1007/s11229-014-0507-1
Full citation:
Park, I. (2014). Confirmation measures and collaborative belief updating. Synthese 191 (16), pp. 3955-3975.
This document is unfortunately not available for download at the moment.