Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
This paper extends our earlier work on reverse Bayesianism by relaxing the assumption that decision makers abide by expected utility theory, assuming instead weaker axioms that merely imply that they are probabilistically sophisticated. We show that our main results, namely, (modified) representation theorems and corresponding rules for updating beliefs over expanding state spaces and null events that constitute “reverse Bayesianism,” remain valid. Copyright Springer Science+Business Media New York 2015