Many important decisions are taken not by the person who will ultimately gain or lose from the outcome, but on their behalf, by somebody else. We examined economic decision-making about risk and time in situations in which deciders chose for others who also chose for them. We propose that this unique setting, which has not been studied before, elicits perception of reciprocity that prompts a unique bias in preferences. We found that decision-makers are less patient (more discounting), and more risk averse for losses than gains, with other peoples' money, especially when their choices for others are more uncertain. Those results were derived by exploiting a computational modeling framework that has been shown to account for the underlying psychological and neural decision processes. We propose a novel theoretical mechanism-precautionary preferences under social uncertainty, which explains the findings. Implications for future research and alternative models are also discussed.
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http://dx.doi.org/10.1037/npe0000063 | DOI Listing |
Sci Rep
December 2024
School of Public Administration, Guangzhou University, Guangzhou, 510006, China.
The randomness and volatility of existing clean energy sources have increased the complexity of grid scheduling. To address this issue, this work proposes an artificial intelligence (AI) empowered method based on the Environmental, Social, and Governance (ESG) big data platform, focusing on multi-objective scheduling optimization for clean energy. This work employs a combination of Particle Swarm Optimization (PSO) and Deep Q-Network (DQN) to enhance grid scheduling efficiency and clean energy utilization.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
December 2024
Nivel, Netherlands Institute for Health Services Research, Otterstraat 118, Utrecht, 3513 CR, The Netherlands.
Background: At the beginning of the COVID-19 pandemic in 2020, little was known about the spread of COVID-19 in Dutch nursing homes while older people were particularly at risk of severe symptoms. Therefore, attempts were made to develop a nationwide COVID-19 repository based on routinely recorded data in the electronic health records (EHRs) of nursing home residents. This study aims to describe the facilitators and barriers encountered during the development of the repository and the lessons learned regarding the reuse of EHR data for surveillance and research purposes.
View Article and Find Full Text PDFPhys Life Rev
December 2024
Department of Dynamic and Clinical Psychology and Health Studies, Sapienza University of Rome, Rome, Italy; Institute of Cognitive Sciences and Technologies, Italian National Research Council, Rome, Italy. Electronic address:
The paper presents new evidence collected in the last five years supporting the Words As social Tools proposal on abstract concepts. We discuss findings revolving around three central tenets. First, we show that-like concrete concepts-also abstract concepts evoke sensorimotor experiences, even if to a lower extent, and that they are linked to inner experiences (e.
View Article and Find Full Text PDFBr J Soc Psychol
January 2025
Beijing Key Laboratory of Applied Experimental Psychology, Faculty of Psychology, Beijing Normal University, Beijing, China.
The burgeoning progress of cutting-edge technology paradoxically evokes nostalgia. How does this emotion influence responses to innovative technology, such as Artificial Intelligence (AI)? We hypothesized that two pathways operate concurrently. First, by enhancing connection with significant others, nostalgia constitutes a psychological resource that supports exploration of technological innovation, thereby promoting positive responses to AI.
View Article and Find Full Text PDFCrit Care Med
December 2024
Department of Intensive Care Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands.
Objectives: Recent multicenter trials suggest that higher protein delivery may result in worse outcomes in critically ill patients, but uncertainty remains. An updated Bayesian meta-analysis of recent evidence was conducted to estimate the probabilities of beneficial and harmful treatment effects.
Data Sources: An updated systematic search was performed in three databases until September 4, 2024.
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