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Frontiers in Psychology, 2015 Bayesian reasoning, defined here as the updating of a posterior probability following new information, has historically been problematic for humans. Classic psychology experiments have tested human Bayesian reasoning through the use of word problems and ...
Gary L. Brase, W. Trey eHill
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A Philosophical Treatise on the Connection of Scientific Reasoning with Fuzzy Logic
Mathematics, 2020 The present article studies the connection of scientific reasoning with fuzzy logic. Induction and deduction are the two main types of human reasoning.
Evangelos Athanassopoulos +1 more
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The Bayesian boom: good thing or bad? [PDF]
, 2014 A series of high-profile critiques of Bayesian models of cognition have recently sparked controversy. These critiques question the contribution of rational, normative considerations in the study of cognition. The present article takes central claims from
Ulrike eHahn, Hahn, Ulrike, Ulrike Hahn
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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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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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Bayesian network variable elimination method optimal elimination order construction [PDF]
ITM Web of Conferences, 2022 Variable Elimination (VE) is the most basic one of many Bayesian network inference algorithms. The speed and complexity of reasoning mainly depend on the order of elimination.
Ren Dongping, Guo Jianxi, Hao Xiaoli
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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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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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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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Confirmation and Reduction: A Bayesian Account [PDF]
, 2010 Various scientific theories stand in a reductive relation to each other. In a recent article, we have argued that a generalized version of the Nagel-Schaffner model (GNS) is the right account of this relation.
R. Frigg +8 more
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