The work proposes a generalized approach for degrees of confirmation, indicating a flexible framework for representing probabilities.
Since the days of logical empiricism, quantitative theories of degrees of confirmation have commonly been built upon the calculus of (conditional) probabilities. This work proposes a generalized account of degrees of confirmation in which probabilities naturally arise as a special case. I argue that probabilities can often—but not always—be chosen by convention out of a large class of calculi to represent degrees of confirmation.
No takes yet. Share an insight, caveat, or question.
Youness Ayaita (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: