If an agent can't live up to the demands of ideal rationality, fallback norms come into play that take into account the agent's limitations. A familiar human limitation is our tendency to lose information. How should we compensate for this tendency? The Seeping Beauty problem allows us to isolate this question, without the confounding influence of other human limitations. If the coin lands tails, Beauty can't preserve whatever information she has received on Monday: she is bound to violate the norms (...) of ideal diachronic rationality. The considerations that support these norms, however, can still be used. I investigate how Beauty should update her beliefs so as to maximize the expected accuracy of her new beliefs. The investigation draws attention to important but neglected questions about the connection between rational belief and evidential support, about the status of ideal and non‐ideal norms, about the dependence of epistemic norms on descriptive facts, and about the precise formulation of expected accuracy measures. It also sheds light on the puzzle of higher‐order evidence. (shrink)

The Sleeping Beauty problem has attracted considerable attention in the literature as a paradigmatic example of how self-locating uncertainty creates problems for the Bayesian principles of Conditionalization and Reflection. Furthermore, it is also thought to raise serious issues for diachronic Dutch Book arguments. I show that, contrary to what is commonly accepted, it is possible to represent the Sleeping Beauty problem within a standard Bayesian framework. Once the problem is correctly represented, the ‘thirder’ solution satisfies standard rationality principles, vindicating why (...) it is not vulnerable to diachronic Dutch Book arguments. Moreover, the diachronic Dutch Books against the ‘halfer’ solutions fail to undermine the standard arguments for Conditionalization. The main upshot that emerges from my discussion is that the disagreement between different solutions does not challenge the applicability of Bayesian reasoning to centered settings, nor the commitment to Conditionalization, but is instead an instance of the familiar problem of choosing the priors. (shrink)