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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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Abstract:
Belief polarization is said to occur when two people respond to the same evidence by updating their beliefs in opposite directions. This response is considered to be “irrational” because it involves contrary updating, a form of belief updating that appears to violate normatively optimal responding, as for example dictated by Bayes' theorem. In light of much evidence that people are capable of normatively optimal behavior, belief polarization presents a puzzling exception. We show that Bayesian networks, or Bayes nets, can simulate rational belief updating. When fit to experimental data, Bayes nets can help identify the factors that contribute to polarization. We present a study into belief updating concerning the reality of climate change in response to information about the scientific consensus on anthropogenic global warming (AGW). The study used representative samples of Australian and U.S. participants. Among Australians, consensus information partially neutralized the influence of worldview, with free-market supporters showing a greater increase in acceptance of human-caused global warming relative to free-market opponents. In contrast, while consensus information overall had a positive effect on perceived consensus among U.S. participants, there was a reduction in perceived consensus and acceptance of human-caused global warming for strong supporters of unregulated free markets. Fitting a Bayes net model to the data indicated that under a Bayesian framework, free-market support is a significant driver of beliefs about climate change and trust in climate scientists. Further, active distrust of climate scientists among a small number of U.S. conservatives drives contrary updating in response to consensus information among this particular group.
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Keyword:
1702 Artificial Intelligence; 1709 Human-Computer Interaction; 2805 Cognitive Neuroscience; 3205 Experimental and Cognitive Psychology; 3310 Linguistics and Language; Bayes' theorem; Bayesian updating; Belief polarization; Climate change
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URL: https://espace.library.uq.edu.au/view/UQ:378234
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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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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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