When making decisions, the amount of time remaining matters. When time horizons are long, exploring unknown options can inform later decisions, but when time horizons are short, exploiting known options should be prioritized. While adults and adolescents adapt their exploration in this way, it is unclear when such adaptation emerges and how individuals behave when time horizons are ambiguous, as in many real-life situations. We examined these questions by having 5- to 6-year-olds ( = 43), 11- to 12-year-olds ( = 40), and adult college students ( = 49) in the United States complete a Simplified Horizons Task under short, long, and ambiguous time horizons. Adaptation to time horizons increased with age: older children and adults explored more when horizons were long than when short, and while some younger children adapted to time horizons, younger children overall did not show strong evidence of adapting. Under ambiguous horizons, older children and adults preferred to exploit over explore, while younger children did not show this preference. Thus, adaptation to time horizons is evident by ages 11-12 and may begin to emerge around 5-6 years, and children decrease their tendencies to explore under short and ambiguous time horizons with development. This developmental shift may lead to less learning but more adaptive decision making. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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http://dx.doi.org/10.1037/dev0001529 | DOI Listing |
Nat Protoc
January 2025
Department Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
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View Article and Find Full Text PDFNPJ Precis Oncol
January 2025
Radiation and Environmental Science Centre, Physical to Life Sciences Research Hub, Technological University Dublin, Dublin, Ireland.
Predicting long-term recurrence of disease in breast cancer (BC) patients remains a significant challenge for patients with early stage disease who are at low to intermediate risk of relapse as determined using current clinical tools. Prognostic assays which utilize bulk transcriptomics ignore the spatial context of the cellular material and are, therefore, of limited value in the development of mechanistic models. In this study, Fourier-transform infrared (FTIR) chemical images of BC tissue were used to train deep learning models to predict future disease recurrence.
View Article and Find Full Text PDFPhysiol Rev
January 2025
University of Zurich, Vetsuise Faculty, Institute of Veterinary Physiology, Zurich, Switzerland.
Metabolic energy stored mainly as adipose tissue is homeostatically regulated. There is strong evidence that human body weight () is physiologically regulated, i.e.
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Plant Biotechnol J
January 2025
Institute of Plant Biotechnology and Cell Biology, Department of Applied Genetics and Cell Biology, University of Natural Resources and Life Sciences, Vienna, Austria.
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