Results 21 to 30 of about 18,600 (242)
Denotative and connotative management of uncertainty: A computational dual-process model [PDF]
Judgment and Decision Making, 2021 The interplay between intuitive and deliberative processing is known to be important for human decision making. As independent modes, intuitive processes can take on many forms from associative to constructive, while deliberative processes often rely on ...
Jesse Hoey +2 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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Different Visualizations Cause Different Strategies When Dealing With Bayesian Situations
Frontiers in Psychology, 2020 People often struggle with Bayesian reasoning. However, previous research showed that people’s performance (and rationality) can be supported by the way the statistical information is represented.
Andreas Eichler +2 more
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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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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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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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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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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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Widening Access to Bayesian Problem Solving
Frontiers in Psychology, 2020 Bayesian reasoning and decision making is widely considered normative because it minimizes prediction error in a coherent way. However, it is often difficult to apply Bayesian principles to complex real world problems, which typically have many unknowns ...
Nicole Cruz +8 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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