The author presented 60 9th- and 12th-graders with hypothetical arguments that contained logical fallacies. Arguments were either consistent or inconsistent with participants' theories. Participants rated the quality and truth of each argument, identified perceived strengths and weaknesses in the arguments, and verbally described hypothetical experiments that could lead to evidence falsifying the claims made in the arguments. Results indicated that intellectual ability, particularly verbal ability, was the best predictor of each index of everyday reasoning. However, neither the ability measures nor age were related to biases in everyday reasoning. Hierarchical multiple regression analyses showed that, for each reasoning variable, adolescents' personal theories accounted for the most variance in reasoning biases. These findings are discussed in terms of the roles that intellectual ability and theory-driven motivation play in everyday reasoning and self-serving adolescent reasoning.
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http://dx.doi.org/10.1037//0012-1649.33.2.273 | DOI Listing |
Front Artif Intell
January 2025
Center for Mind/Brain Sciences, University of Trento, Trento, Italy.
The impressive performance of modern Large Language Models (LLMs) across a wide range of tasks, along with their often non-trivial errors, has garnered unprecedented attention regarding the potential of AI and its impact on everyday life. While considerable effort has been and continues to be dedicated to overcoming the limitations of current models, the potentials and risks of human-LLM collaboration remain largely underexplored. In this perspective, we argue that enhancing the focus on human-LLM interaction should be a primary target for future LLM research.
View Article and Find Full Text PDFChild Dev
January 2025
Cornell University, Ithaca, New York, USA.
Young children's helping can benefit both recipient and helper. This study examined how children and caregivers incorporate helper and recipient interests in evaluations of household helping. Data were collected throughout 2022.
View Article and Find Full Text PDFNat Neurosci
January 2025
Department of Neuroscience, University of California, Berkeley, Berkeley, CA, USA.
What is good in one scenario may be bad in another. Despite the ubiquity of such contextual reasoning in everyday choice, how the brain flexibly uses different valuation schemes across contexts remains unknown. We addressed this question by monitoring neural activity from the hippocampus (HPC) and orbitofrontal cortex (OFC) of two monkeys performing a state-dependent choice task.
View Article and Find Full Text PDFThe ethics of care and justice represent two modes of moral reasoning that nurses use in solving real-life ethical dilemmas. The present study investigated what types of dilemmas nurses encounter in everyday work and to what extent they use care versus justice reasoning to solve them. The study used a cross-sectional survey design.
View Article and Find Full Text PDFSci Rep
January 2025
Dr. D. Y. Patil Vidyapeeth, Pune, Dr. D. Y. Patil School of Science & Technology, Tathawade, Pune, India.
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