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A Bayesian optimization approach for rapidly mapping residual network function in stroke. ...
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Predictive Neural Computations Support Spoken Word Recognition: Evidence from MEG and Competitor Priming. ...
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A Bayesian optimization approach for rapidly mapping residual network function in stroke.
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Predictive Neural Computations Support Spoken Word Recognition: Evidence from MEG and Competitor Priming.
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Rapid computations of spectrotemporal prediction error support perception of degraded speech. ...
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Chunking and redintegration in verbal short-term memory. ...
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Comparison of Frequency Transposition and Frequency Compression for People With Extensive Dead Regions in the Cochlea. ...
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Dynamic integration of conceptual information during learning.
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In: PloS one, vol 13, iss 11 (2018)
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ИНТЕЛЛЕКТУАЛЬНЫЙ ФИЛЬТР ЭЛЕКТРОННЫХ СООБЩЕНИЙ ... : INTELLIGENT FILTER FOR THE ELECTRONIC MESSAGES ...
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Rational irrationality: modeling climate change belief polarization using bayesian networks
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Language phylogenies reveal expansion pulses and pauses in Pacific settlement
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In: Science (2015)
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A Bayesian framework for knowledge attribution: evidence from semantic integration.
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Abstract:
We 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 measure of conceptual activation. Our experiments confirmed the predictions of our Bayesian account of knowledge attribution across three experiments. We found that Gettier cases due to counterfeit objects were not treated as knowledge (Experiment 1), but those due to intentionally-replaced evidence were (Experiment 2). Our findings are not well explained by an alternative account focused only on luck, because accidentally-replaced evidence activated the knowledge concept more strongly than did similar false belief cases (Experiment 3). We observed a consistent pattern of results across a number of different vignettes that varied the quality and type of evidence available to agents, the relative stakes involved, and surface details of content. Accordingly, the present findings establish basic phenomena surrounding people's knowledge attributions in Gettier cases, and provide explanations of these phenomena within a Bayesian framework.
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Keyword:
Adult; Bayes Theorem; Bayesian reasoning; Communication and Culture; Experimental Psychology; False memory; Female; Humans; Implicit memory; Information and Computing Sciences; Knowledge; Language; Male; Mental Recall; Middle Aged; Models; Psychology and Cognitive Sciences; Semantic integration; Semantics; Theoretical; Thinking; Young Adult
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URL: https://escholarship.org/uc/item/63r2x1ww
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Forensic Speaker Recognition at the beginning of the twenty-first century - an overview and a demonstration
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In: Australian Journal of Forensic Sciences (2015)
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Strength of forensic speaker identification evidence: multispeaker formant- and cepstrum-based segmental discrimination with a Bayesian likelihood ratio as threshold
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In: Forensic Linguistics: The International Journal of Speech, Language and the Law (2015)
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Mapping the Origins and Expansion of the Indo-European Language Family
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In: Science (2015)
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Strength of forensic speaker identification evidence: multispeaker formant- and cepstrum-based segmental discrimination with a Bayesian likelihood ratio as threshold
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In: Forensic Linguistics: The International Journal of Speech, Language and the Law (2015)
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The Riddle of Tasmanian languages
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In: Royal Society of London. Proceedings B. Biological Sciences (2015)
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Forensic Speaker Recognition at the beginning of the twenty-first century - an overview and a demonstration
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In: Australian Journal of Forensic Sciences (2015)
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