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  1. False Precision, Surprise and Improved Uncertainty Assessment.Wendy S. Parker & James S. Risbey - 2015 - Philosophical Transactions of the Royal Society A 373 (2055):20140453.
    An uncertainty report describes the extent of an agent’s uncertainty about some matter. We identify two basic requirements for uncertainty reports, which we call faithfulness and completeness. We then discuss two pitfalls of uncertainty assessment that often result in reports that fail to meet these requirements. The first involves adopting a one-size-fits-all approach to the representation of uncertainty, while the second involves failing to take account of the risk of surprises. In connection with the latter, we respond to the objection (...)
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  • Prove it! The Burden of Proof Game in Science vs. Pseudoscience Disputes.Massimo Pigliucci & Maarten Boudry - 2014 - Philosophia 42 (2):487-502.
    The concept of burden of proof is used in a wide range of discourses, from philosophy to law, science, skepticism, and even in everyday reasoning. This paper provides an analysis of the proper deployment of burden of proof, focusing in particular on skeptical discussions of pseudoscience and the paranormal, where burden of proof assignments are most poignant and relatively clear-cut. We argue that burden of proof is often misapplied or used as a mere rhetorical gambit, with little appreciation of the (...)
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  • Diachronic and Interpersonal Coherence.Kenny Easwaran & Reuben Stern - forthcoming - In Baron Reed & A. K. Flowerree (eds.), Towards an Expansive Epistemology: Norms, Action, and the Social Sphere. Routledge.
    Bayesians standardly claim that there is rational pressure for agents’ credences to cohere across time because they face bad (epistemic or practical) consequences if they fail to diachronically cohere. But as David Christensen has pointed out, groups of individual agents also face bad consequences if they fail to interpersonally cohere, and there is no general rational pressure for one agent's credences to cohere with another’s. So it seems that standard Bayesian arguments may prove too much. Here, we agree with Christensen (...)
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  • Extending the Argument from Unconceived Alternatives: Observations, Models, Predictions, Explanations, Methods, Instruments, Experiments, and Values.Darrell P. Rowbottom - 2016 - Synthese (10).
    Stanford’s argument against scientific realism focuses on theories, just as many earlier arguments from inconceivability have. However, there are possible arguments against scientific realism involving unconceived (or inconceivable) entities of different types: observations, models, predictions, explanations, methods, instruments, experiments, and values. This paper charts such arguments. In combination, they present the strongest challenge yet to scientific realism.
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  • What is (Dis)Agreement?Darrell Patrick Rowbottom - 2018 - Philosophy and Phenomenological Research 97 (1):223-236.
    When do we agree? The answer might once have seemed simple and obvious; we agree that p when we each believe that p. But from a formal epistemological perspective, where degrees of belief are more fundamental than beliefs, this answer is unsatisfactory. On the one hand, there is reason to suppose that it is false; degrees of belief about p might differ when beliefs simpliciter on p do not. On the other hand, even if it is true, it is too (...)
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  • A New Group Dutch Book Argument.Matthew Kopec - 2017 - Ratio 30 (2):122-136.
    In this essay, I repair the group Dutch Book argument presented by Donald Gillies. I then examine what additional assumptions would be needed for the argument to generate genuinely normative prescriptions for groups of inquirers. Although the resulting norms will apply to fewer groups than Gillies originally intended, they are still an important addition to the normative landscape in social epistemology.
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