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  1. Taking Stock of Infinite Value: Pascal’s Wager and Relative Utilities.Paul Bartha - 2007 - Synthese 154 (1):5-52.
    Among recent objections to Pascal's Wager, two are especially compelling. The first is that decision theory, and specifically the requirement of maximizing expected utility, is incompatible with infinite utility values. The second is that even if infinite utility values are admitted, the argument of the Wager is invalid provided that we allow mixed strategies. Furthermore, Hájek has shown that reformulations of Pascal's Wager that address these criticisms inevitably lead to arguments that are philosophically unsatisfying and historically unfaithful. Both the objections (...)
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  • Vague Credence.Aidan Lyon - 2017 - Synthese 194 (10):3931-3954.
    It is natural to think of precise probabilities as being special cases of imprecise probabilities, the special case being when one’s lower and upper probabilities are equal. I argue, however, that it is better to think of the two models as representing two different aspects of our credences, which are often vague to some degree. I show that by combining the two models into one model, and understanding that model as a model of vague credence, a natural interpretation arises that (...)
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  • Do Vague Probabilities Really Scotch Pascal’s Wager?Craig Duncan - 2003 - Philosophical Studies 112 (3):279 - 290.
    Alan Hájek has recently argued that certain assignments of vague probability defeat Pascals Wager. In particular, he argues that skeptical agnostics – those whose probability for God''s existence is vague over an interval containing zero – have nothing to fear from Pascal. In this paper, I make two arguments against Hájek: (1) that skeptical agnosticism is a form of dogmatism, and as such should be rejected; (2) that in any case, choice situations with vague probability assignments ought to be treated (...)
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  • Pascalian Expectations and Explorations.Alan Hajek & Elizabeth Jackson - forthcoming - In Roger Ariew & Yuval Avnur (eds.), The Blackwell Companion to Pascal. Wiley-Blackwell.
    Pascal’s Wager involves expected utilities. In this chapter, we examine the Wager in light of two main features of expected utility theory: utilities and probabilities. We discuss infinite and finite utilities, and zero, infinitesimal, extremely low, imprecise, and undefined probabilities. These have all come up in recent literature regarding Pascal’s Wager. We consider the problems each creates and suggest prospects for the Wager in light of these problems.
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  • Pascal’s Wager and Decision-making with Imprecise Probabilities.André Neiva - 2022 - Philosophia 51 (3):1479-1508.
    Unlike other classical arguments for the existence of God, Pascal’s Wager provides a pragmatic rationale for theistic belief. Its most popular version says that it is rationally mandatory to choose a way of life that seeks to cultivate belief in God because this is the option of maximum expected utility. Despite its initial attractiveness, this long-standing argument has been subject to various criticisms by many philosophers. What is less discussed, however, is the rationality of this choice in situations where the (...)
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  • After Pascal’s Wager: on religious belief, regulated and rationally held.Jack Warman & David Efird - 2021 - International Journal for Philosophy of Religion 90 (1):61-78.
    In Pascal’s famous wager, he claims that the seeking non-believer can induce genuine religious belief in herself by joining a religious community and taking part in its rituals. This form of belief regulation is epistemologically puzzling: can we form beliefs in this way, and could such beliefs be rationally held? In the first half of the paper, we explain how the regimen could allow the seeking non-believer to regulate her religious beliefs by intervening on her evidence and epistemic standards. In (...)
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  • The Bayesian and the Dogmatist.Brian Weatherson - 2007 - Proceedings of the Aristotelian Society 107 (1pt2):169-185.
    It has been argued recently that dogmatism in epistemology is incompatible with Bayesianism. That is, it has been argued that dogmatism cannot be modelled using traditional techniques for Bayesian modelling. I argue that our response to this should not be to throw out dogmatism, but to develop better modelling techniques. I sketch a model for formal learning in which an agent can discover a posteriori fundamental epistemic connections. In this model, there is no formal objection to dogmatism.
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