Classical theories of reasoning equate System 1 with biases and System 2 with correct responses. Refined theories of reasoning propose the parallel model to explain the two systems. The first purpose of the present article is to give a contribution to the debate on the parallel and default-interventionfist models: we hypothesized when logic and belief conflict both logical validity and belief judgments will be affected with greater level of response errors and/or longer response times. The second purpose of this article is to assess the relationship between decisional styles and performance in deductive reasoning. Seventy-two participants participated in the experiment and completed 64 modus ponens and modus tollens syllogistic reasoning tasks. Accordingly, we found that belief and logic judgments were affected by the conflict condition, both in easy syllogisms (i.e., modus ponens) and in complex syllogisms (i.e., modus tollens). Findings showed also that participants with a rational decision-making style were more strongly influenced by logic than belief, whereas those with an intuitive decision-making style were more strongly influenced by belief than logic.
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http://dx.doi.org/10.1080/00221309.2023.2241952 | DOI Listing |
Brain
January 2025
Department of Child and Adolescent Psychopathology, CHU de Lyon, F-69000 Lyon, France; Institut des Sciences Cognitives Marc Jeannerod, UMR 5229 CNRS & Université Claude Bernard Lyon 1, F-69000 Lyon, France.
Computational neuropsychiatry is a leading discipline to explain psychopathology in terms of neuronal message passing, distributed processing, and belief propagation in neuronal networks. Active Inference (AI) has been one of the ways of representing this dysfunctional signal processing. It involves that all neuronal processing and action selection can be explained by maximizing Bayesian model evidence, or minimizing variational free energy.
View Article and Find Full Text PDFBehav Sci (Basel)
January 2025
School of Psychology, Jiangxi Normal University, Nanchang 330022, China.
The default-interventionist model of dual-process theories proposes that stereotype descriptions in base-rate problems are processed using Type 1 processing, while the evaluation of base rates depends on Type 2 processing. The logical intuition view posits that people can process base-rate information using Type 1 processing. This study examined the logical intuition view using the instructional manipulation paradigm.
View Article and Find Full Text PDFIndividuals with general anxiety disorder (GAD) have an impaired future-oriented processing and altered reward perception, which might involve the ventromedial prefrontal cortex (vmPFC) and dorsolateral prefrontal cortex (dlPFC). Twenty-nine adults with GAD performed the balloon analogue risk-taking task (BART) and delay discounting task (DDT) during five sessions of transcranial direct current stimulation (tDCS) with different stimulation conditions. The stimulation conditions were: anodal dlPFC (F3)/cathodal vmPFC (Fp2), anodal vmPFC (Fp2)/cathodal dlPFC (F3), anodal dlPFC (F3)/cathodal right shoulder, anodal vmPFC (Fp2)/cathodal left shoulder, and sham stimulation.
View Article and Find Full Text PDFInteract J Med Res
December 2024
Life Science Laboratories, KDDI research atelier, KDDI Research, Inc, Fujimino, Saitama, Japan.
Government policies in the United States and the European Union promote standardization and value creation in the use of FAIR (findability, accessibility, interoperability, and reusability) data, which can enhance trust in digital health systems and is crucial for their success. Trust is built through elements such as FAIR data access, interoperability, and improved communication, which are essential for fostering innovation in digital health technologies. This Viewpoint aims to report on exploratory research demonstrating the feasibility of testing a patient-centric data flow model facilitating semantic interoperability on precision medical information.
View Article and Find Full Text PDFEvol Hum Sci
December 2024
Institute of Cognitive Sciences and Technologies, Italian National Research Council, Rome, Italy.
Understanding and predicting human cooperative behaviour and belief dynamics remains a major challenge both from the scientific and practical perspectives. Because of the complexity and multiplicity of material, social and cognitive factors involved, both empirical and theoretical work tends to focus only on some snippets of the puzzle. Recently, a mathematical theory has been proposed that integrates material, social and cognitive aspects of behaviour and beliefs dynamics to explain how people make decisions in social dilemmas within heterogeneous groups.
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