Results 71 to 80 of about 2,016,221 (272)
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT Growing demand for healthier beverages is driving innovation in the wine sector, with dealcoholized wine emerging as a promising alternative. However, little is known about the contextual conditions under which consumers would choose dealcoholized wine, particularly in countries with strong wine traditions. To fill this gap, this work examines
Giovanna Piracci +4 more
wiley +1 more source
Frontiers in PsychiatryIntroductionAmotivation in depression is linked to impaired reinforcement learning and effort expenditure via the dopaminergic reward pathway. To understand its computational and neural basis, we modeled incentive, temporal and cognitive burden effects ...
Il Ho Park, Chae Eun Lee, Kyungun Jhung
doaj +1 more source
Frontiers in Psychology, 2014 The goal of this study was to examine age effects on the ability/willingness to wait for large rewards in a real temporal reward discounting task from childhood to adulthood. Therefore, a real temporal discounting task was administered to children aged 6-
Anouk eScheres +5 more
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PLoS ONE, 2020 When faced with intertemporal choices, people typically devalue rewards available in the future compared to rewards more immediately available, a phenomenon known as temporal discounting.
V. Patt +4 more
semanticscholar +1 more source
Food Tastes in the United States: Convergence or Divergence?
Agribusiness, EarlyView.ABSTRACT This study investigates how food consumption tastes have changed in recent decades across the United States. Using NielsenIQ data for over 77 million transactions, there is evidence of divergence in food tastes across regions from 2007 to 2016 and across households of different income, education, and race/ethnicity groups.
Michael DeDad
wiley +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source
Temporal-difference reinforcement learning with distributed representations. [PDF]
PLoS ONE, 2009 Temporal-difference (TD) algorithms have been proposed as models of reinforcement learning (RL). We examine two issues of distributed representation in these TD algorithms: distributed representations of belief and distributed discounting factors ...
Zeb Kurth-Nelson, A David Redish
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Frontiers in Psychology, 2020 Delay discounting and probability discounting are two important processes, but in daily life there are many more situations that involve delayed risky outcomes. Although neuroscience research has extensively investigated delay and probability discounting
Guangrong Wang +5 more
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The neurodevelopment of delay discounting for monetary rewards in pre-adolescent children
Scientific Reports, 2021 Children are found to exhibit high degrees of delay discounting compared with adults in many delay discounting studies, which might be due to the asynchronous development of “bottom-up” and “top-down” neural systems.
Mei Yu +4 more
doaj +1 more source
Advanced Intelligent Systems, EarlyView.A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha +2 more
wiley +1 more source