The human response to uncertainty has been well studied in tasks requiring attention and declarative memory systems. However, uncertainty monitoring and control have not been studied in multi-dimensional, information-integration categorization tasks that rely on non-declarative procedural memory. Three experiments are described that investigated the human uncertainty response in such tasks. Experiment 1 showed that following standard categorization training, uncertainty responding was similar in information-integration tasks and rule-based tasks requiring declarative memory. In Experiment 2, however, uncertainty responding in untrained information-integration tasks impaired the ability of many participants to master those tasks. Finally, Experiment 3 showed that the deficit observed in Experiment 2 was not because of the uncertainty response option per se, but rather because the uncertainty response provided participants a mechanism via which to eliminate stimuli that were inconsistent with a simple declarative response strategy. These results are considered in the light of recent models of category learning and metacognition.
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http://dx.doi.org/10.3758/s13421-010-0041-4 | DOI Listing |
Sci Rep
January 2025
Instituto de Ingeniería Energética, Universitat Politècnica de València, Valencia, Spain.
Reliable prediction of photovoltaic power generation is key to the efficient management of energy systems in response to the inherent uncertainty of renewable energy sources. Despite advances in weather forecasting, photovoltaic power prediction accuracy remains a challenge. This study presents a novel approach that combines genetic algorithms and dynamic neural network structure refinement to optimize photovoltaic prediction.
View Article and Find Full Text PDFJ Exp Psychol Gen
January 2025
Department of Psychology, Cornell University.
Recent analyses of social media activity indicate that outgroup animosity drives user engagement more than ingroup favoritism, with content that derogates the outgroup tending to generate more viral responses online. However, it is unclear whether those findings are due to most people's underlying preferences or structural features of the social media landscape. To address this uncertainty, we conducted three experimental studies ( = 609) to examine how intended impact (ingroup favoritism/outgroup derogation) influences intentions to share both true and false news posts among U.
View Article and Find Full Text PDFWater Res X
May 2025
Institute for Artificial Intelligence R&D of Serbia, Fruškogorska 1, Novi Sad 21000, Serbia.
This study evaluates three Machine Learning (ML) models-Temporal Kolmogorov-Arnold Networks (TKAN), Long Short-Term Memory (LSTM), and Temporal Convolutional Networks (TCN)-focusing on their capabilities to improve prediction accuracy and efficiency in streamflow forecasting. We adopt a data-centric approach, utilizing large, validated datasets to train the models, and apply SHapley Additive exPlanations (SHAP) to enhance the interpretability and reliability of the ML models. The results show that TKAN outperforms LSTM but slightly lags behind TCN in streamflow forecasting.
View Article and Find Full Text PDFCureus
December 2024
Department of Health and Welfare Services, National Institute of Public Health, Wako, JPN.
Background Cardiopulmonary arrest is a leading cause of death and requires swift intervention for survival. Previous studies have highlighted the critical importance of initiating cardiopulmonary resuscitation (CPR) and defibrillation within a limited timeframe. Improving outcomes depends on widespread CPR training, accessible automated external defibrillators (AEDs), and increased public awareness.
View Article and Find Full Text PDFGerontologist
January 2025
Center on the Ecology of Early Development (CEED), Boston College, Boston, Massachusetts, USA.
Background And Objectives: Chronic kidney disease (CKD) is a major public health concern that uniquely impacts older Black Americans, a population also likely to have family members also diagnosed with CKD. This study aimed to (1) describe how participants viewed their decision preferences considering the experiences of family, and friends previously diagnosed with CKD, and (2) to understand how these social complexities informed their own decisions for future CKD care.
Research Design And Methods: Utilizing a phenomenologically-informed approach, this study explored participants' perceptions of how patients and their family members' experiences with CKD influenced treatment-related decision-making.
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