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  1. How do Beliefs Simplify Reasoning?Julia Staffel - 2019 - Noûs 53 (4):937-962.
    According to an increasingly popular epistemological view, people need outright beliefs in addition to credences to simplify their reasoning. Outright beliefs simplify reasoning by allowing thinkers to ignore small error probabilities. What is outright believed can change between contexts. It has been claimed that thinkers manage shifts in their outright beliefs and credences across contexts by an updating procedure resembling conditionalization, which I call pseudo-conditionalization (PC). But conditionalization is notoriously complicated. The claim that thinkers manage their beliefs via PC is (...)
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  • Generics and typicality: a bounded rationality approach.Robert van Rooij & Katrin Schulz - 2020 - Linguistics and Philosophy 43 (1):83-117.
    Cimpian et al. observed that we accept generic statements of the form ‘Gs are f’ on relatively weak evidence, but that if we are unfamiliar with group G and we learn a generic statement about it, we still treat it inferentially in a much stronger way: all Gs are f. This paper makes use of notions like ‘representativeness’, ‘contingency’ and ‘relative difference’ from psychology to provide a uniform semantics of generics that explains why people accept generics based on weak evidence. (...)
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  • Children’s quantitative Bayesian inferences from natural frequencies and number of chances.Stefania Pighin, Vittorio Girotto & Katya Tentori - 2017 - Cognition 168 (C):164-175.
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  • Critique of pure Bayesian cognitive science: A view from the philosophy of science.Vincenzo Crupi & Fabrizio Calzavarini - 2023 - European Journal for Philosophy of Science 13 (3):1-17.
    Bayesian approaches to human cognition have been extensively advocated in the last decades, but sharp objections have been raised too within cognitive science. In this paper, we outline a diagnosis of what has gone wrong with the prevalent strand of Bayesian cognitive science (here labelled pure Bayesian cognitive science), relying on selected illustrations from the psychology of reasoning and tools from the philosophy of science. Bayesians’ reliance on so-called method of rational analysis is a key point of our discussion. We (...)
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  • Tracking Confirmation.Igor Douven - 2021 - Philosophy of Science 88 (3):398-414.
    Confirmation is a graded notion: evidence can confirm a hypothesis to a greater or lesser degree. There has been debate about how to measure degree of confirmation. Starting from the observation that we would like evidence to be a discriminating indicator of truth, we conduct computer simulations to determine how well the various known measures of confirmation predict the extent to which a given piece of evidence fulfills that role, given a hypothesis of interest. The outcomes show that some measures (...)
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  • The myth of language universals and the myth of universal grammar.Morten H. Christiansen & Nick Chater - 2009 - Behavioral and Brain Sciences 32 (5):452.
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  • The Effect of Evidential Impact on Perceptual Probabilistic Judgments.Marta Mangiarulo, Stefania Pighin, Luca Polonio & Katya Tentori - 2021 - Cognitive Science 45 (1):e12919.
    In a series of three behavioral experiments, we found a systematic distortion of probability judgments concerning elementary visual stimuli. Participants were briefly shown a set of figures that had two features (e.g., a geometric shape and a color) with two possible values each (e.g., triangle or circle and black or white). A figure was then drawn, and participants were informed about the value of one of its features (e.g., that the figure was a “circle”) and had to predict the value (...)
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