Probabilistic and Deductive Reasoning in the Human Brain
NeuroImage, 2023 Reasoning is a process of inference from given premises to new conclusions. Deductive reasoning is truth-preserving and conclusions can only be either true or false.
Markus Knauff +1 more
exaly +3 more sources
Distinctive Delta and Theta Responses in Deductive and Probabilistic Reasoning [PDF]
Brain and BehaviorIntroduction The neural substrates of reasoning, a cognitive ability we use constantly in daily life, are still unclear. Reasoning can be divided into two types according to how the inference process works and the certainty of the conclusions.
Emir Faruk Sevim +4 more
doaj +2 more sources
Perception of Risk and Terrorism-Related Behavior Change: Dual Influences of Probabilistic Reasoning and Reality Testing [PDF]
Frontiers in Psychology, 2017 The present study assessed the degree to which probabilistic reasoning performance and thinking style influenced perception of risk and self-reported levels of terrorism-related behavior change.
Andrew Denovan +4 more
doaj +2 more sources
Latent Profile Analysis of Schizotypy and Paranormal Belief: Associations with Probabilistic Reasoning Performance [PDF]
Frontiers in Psychology, 2018 This study assessed the extent to which within-individual variation in schizotypy and paranormal belief influenced performance on probabilistic reasoning tasks.
Andrew Denovan +3 more
doaj +2 more sources
Development and validity evidence for the probabilistic reasoning test in undergraduate medical students [PDF]
BMC Medical EducationBackground Script Concordance Tests (SCT) are widely used to assess clinical reasoning in medical education, but their use in high-stakes examinations raises concerns related to ambiguity, reliance on expert panels, and limited acceptability among ...
David Drummond +6 more
doaj +2 more sources
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Many modern artificial intelligence (AI) systems like human-interacting smart devices or expert systems adapt to specific users' information processes but the underlying AI methods commonly lack a theory of mind.
Marco Wilhelm +4 more
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Evaluating and selecting arguments in the context of higher order uncertainty
Frontiers in Artificial Intelligence, 2023 Human and artificial reasoning has to deal with uncertain environments. Ideally, probabilistic information is available. However, sometimes probabilistic information may not be precise or it is missing entirely.
Christian Straßer, Lisa Michajlova
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Compositional bisimulation metric reasoning with Probabilistic Process Calculi [PDF]
Logical Methods in Computer Science, 2017 We study which standard operators of probabilistic process calculi allow for compositional reasoning with respect to bisimulation metric semantics.
Daniel Gebler +2 more
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Pythagoras, 2021 Interpreting phenomena under uncertainty stands as a substantial cognitive activity in our daily life. Furthermore, in probability education research, there is a need for developing a unified model that involves several probabilistic conceptions.
Samah G.A. Elbehary
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Reasoning in Reference Games: Individual- vs. Population-Level Probabilistic Modeling. [PDF]
PLoS ONE, 2016 Recent advances in probabilistic pragmatics have achieved considerable success in modeling speakers' and listeners' pragmatic reasoning as probabilistic inference.
Michael Franke, Judith Degen
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