
Publication details
Year: 2014
Pages: 3955-3975
Series: Synthese
Full citation:
, "Confirmation measures and collaborative belief updating", Synthese 191 (16), 2014, pp. 3955-3975.
Abstract
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
Year: 2014
Pages: 3955-3975
Series: Synthese
Full citation:
, "Confirmation measures and collaborative belief updating", Synthese 191 (16), 2014, pp. 3955-3975.