 Yet for some problems, Bayesian modelling seems not to be sufficiently nuanced. A recently flourishing area has concerned modelling an agent’s self-locating credences, concerning who she is, or what time it is. The contents of such credences are usually taken to be richer than just propositions (thought of as sets of possible worlds); rather, they are finer-grained propositions (sets of centered worlds — see Lewis 1979). This in turn has ramifications for updating rules, in particular calling conditionalization into question—see Meacham (2008). The so-called Sleeping Beauty problem (Elga 2000) has generated much discussion in this regard. See Titelbaum (2012) for a comprehensive study and approach to such problems. These continue to be fertile areas of research. 