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  1. Peirce, Pedigree, Probability.Rush T. Stewart & Tom F. Sterkenburg - forthcoming - Transactions of the Charles S. Peirce Society.
    An aspect of Peirce’s thought that may still be underappreciated is his resistance to what Levi calls _pedigree epistemology_, to the idea that a central focus in epistemology should be the justification of current beliefs. Somewhat more widely appreciated is his rejection of the subjective view of probability. We argue that Peirce’s criticisms of subjectivism, to the extent they grant such a conception of probability is viable at all, revert back to pedigree epistemology. A thoroughgoing rejection of pedigree in the (...)
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  • Distention for Sets of Probabilities.Rush T. Stewart & Michael Nielsen - forthcoming - Philosophy of Science:1-16.
    A prominent pillar of Bayesian philosophy is that, relative to just a few constraints, priors “wash out” in the limit. Bayesians often appeal to such asymptotic results as a defense against charges of excessive subjectivity. But, as Seidenfeld and coauthors observe, what happens in the short run is often of greater interest than what happens in the limit. They use this point as one motivation for investigating the counterintuitive short run phenomenon of dilation since, it is alleged, “dilation contrasts with (...)
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  • The Role of Source Reliability in Belief Polarisation.Leah Henderson & Alexander Gebharter - 2021 - Synthese (3-4):1-24.
    Psychological studies show that the beliefs of two agents in a hypothesis can diverge even if both agents receive the same evidence. This phenomenon of belief polarisation is often explained by invoking biased assimilation of evidence, where the agents’ prior views about the hypothesis affect the way they process the evidence. We suggest, using a Bayesian model, that even if such influence is excluded, belief polarisation can still arise by another mechanism. This alternative mechanism involves differential weighting of the evidence (...)
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  • Bayesian Epistemology.Jürgen Landes - 2022 - Kriterion - Journal of Philosophy 36 (1):1-7.
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  • Rational Polarization.Kevin Dorst - manuscript
    Predictable polarization is everywhere: we can often predict how people’s opinions—including our own—will shift over time. Empirical studies suggest that this is so when evidence is ambiguous. That fact is often thought to demonstrate human irrationality. It doesn’t. Bayesians will predictably polarize iff their evidence is ambiguous. And ours often is: the process of cognitive search—searching a cognitively-accessible space for an item of a particular profile—yields ambiguous evidence that can predictably polarize beliefs, despite being expected to make them more accurate. (...)
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  • Individual Representation in a Community of Knowledge.Nathaniel Rabb, Philip M. Fernbach & Steven A. Sloman - 2019 - Trends in Cognitive Sciences 23 (10):891-902.