2015
DOI: 10.1016/j.cognition.2015.03.002
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A Bayesian framework for knowledge attribution: Evidence from semantic integration

Abstract: a b s t r a c tWe propose a Bayesian framework for the attribution of knowledge, and apply this framework to generate novel predictions about knowledge attribution for different types of ''Gettier cases'', in which an agent is led to a justified true belief yet has made erroneous assumptions. We tested these predictions using a paradigm based on semantic integration. We coded the frequencies with which participants falsely recalled the word ''thought'' as ''knew'' (or a near synonym), yielding an implicit meas… Show more

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Cited by 14 publications
(20 citation statements)
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“…After reading a distractor story and answering comprehension questions about it, participants were asked to indicate whether a series of sentences had appeared in the story about the instructor. Following prior semantic integration designs (e.g., Powell et al 2014Powell et al , 2015Waskan et al 2014), our hypothesis was that the version of the story people read (i.e. the condition they were assigned to) would influence what they encoded about the instructor.…”
Section: The Present Studymentioning
confidence: 99%
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“…After reading a distractor story and answering comprehension questions about it, participants were asked to indicate whether a series of sentences had appeared in the story about the instructor. Following prior semantic integration designs (e.g., Powell et al 2014Powell et al , 2015Waskan et al 2014), our hypothesis was that the version of the story people read (i.e. the condition they were assigned to) would influence what they encoded about the instructor.…”
Section: The Present Studymentioning
confidence: 99%
“…Specifically, we hypothesized that participants would incorrectly think that a sentence saying that an instructor knew how to perform a task (the critical sentence) was present in the story they read when the sentence fit with what they semantically encoded about the story (Bransford and Franks 1971;Powell et al 2014Powell et al , 2015Waskan et al 2014). By comparing participants' false alarm rates on the critical sentence across conditions, as well as their overall false alarms on other control sentences, we were able to measure the degree to which these stories differentially led participants to encode that the instructor knows how.…”
Section: Predictionsmentioning
confidence: 99%
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