Abstract
This paper concerns exchangeable analogical predictions based on similarity relations between predicates, and deals with a restricted class of such relations. It describes a system of Carnapian λγ rules on underlying predicate families to model the analogical predictions for this restricted class. Instead of the usual axiomatic definition, the system is characterized with a Bayesian model that employs certain statistical hypotheses. Finally the paper argues that the Bayesian model can be generalized to cover cases outside the restricted class of similarity relations.
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Manuscript submitted 16 June 2004
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Romeijn, J.W. Analogical Predictions for Explicit Similarity. Erkenntnis 64, 253–280 (2006). https://doi.org/10.1007/s10670-005-0232-8
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DOI: https://doi.org/10.1007/s10670-005-0232-8