Results 31 to 40 of about 24,192 (287)
Reasons for (prior) belief in Bayesian epistemology [PDF]
Synthese, 2013 Bayesian epistemology tells us with great precision how we should move from prior to posterior beliefs in light of new evidence or information, but says little about where our prior beliefs come from. It o§ers few resources to describe some prior beliefs as rational or well-justiÖed, and others as irrational or unreasonable.
Franz Dietrich, Christian List
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, 2013 A piece of folklore enjoys some currency among philosophical Bayesians, according to which Bayesian agents that, intuitively speaking, spread their credence over the entire space of available hypotheses are certain to converge to the truth.
Belot, Gordon, Gordon Belot
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CAAI Transactions on Intelligence Technology, 2023 The battlefield situation changes rapidly because underwater targets' are concealment and the sea environment is uncertain. So, a great number of situation information greatly increase, which need to be dealt with in the course of scouting underwater ...
Yongqin Sun +3 more
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Confirmation in the Cognitive Sciences: The Problematic Case of Bayesian Models [PDF]
, 2011 Bayesian models of human learning are becoming increasingly popular in cognitive science. We argue that their purported confirmation largely relies on a methodology that depends on premises that are inconsistent with the claim that people are Bayesian ...
Danks, David +3 more
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A Bayesian latent mixture model approach to assessing performance in stock-flow reasoning [PDF]
Judgment and Decision Making, 2017 People often perform poorly on stock-flow reasoning tasks, with many (but not all) participants appearing to erroneously match the accumulation of the stock to the inflow – a response pattern attributed to the use of a “correlation heuristic”. Efforts to
Arthur Kary +3 more
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Bayesian Linear Regression [PDF]
, 2009 The paper is concerned with Bayesian analysis under prior-data conflict, i.e. the situation when observed data are rather unexpected under the prior (and the sample size is not large enough to eliminate the influence of the prior).
Walter, Gero, Augustin, Thomas
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Issues and Requirements for Bayesian Approaches in Context Aware Systems [PDF]
, 2005 Research in advanced context-aware systems has clearly shown a need to capture the inherent uncertainty in the physical world, especially in human behavior.
Strang, Thomas +5 more
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The impact of visualization on flexible Bayesian reasoning
Avances de Investigación en Educación Matemática, 2017 There is wide consensus that visualizations of statistical information can support Bayesian reasoning. This article focusses on the conceptual understanding of Bayesian reasoning situations and investigates whether the tree diagram or the unit square is
Katharina Böcherer-Linder +2 more
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Graphical Reasoning with Bayesian Networks
, 2007 Nowadays, Bayesian networks are seen by many researchers as standard tools for reasoning with uncertainty. Despite the fact that Bayesian networks are graphical representations, representing dependence and independence information, normally the emphasis of the visualisation of the reasoning process is on showing changes in the associated marginal ...
Flesch, I., Lucas, P.J.F.
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Challenges to Bayesian Confirmation Theory [PDF]
, 2011 While Bayesian analysis has enjoyed notable success with many particular problems of inductive inference, it is not the one true and universal logic of induction. I review why the Bayesian approach fails to provide this universal logic of induction. Some
Norton, JD +2 more
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