Results 61 to 70 of about 14,444 (299)
ABSTRACT Native plants offer a variety of aesthetic (e.g., fall colour, fruit, flowers) and functional benefits (e.g., pollinator friendly, wildlife friendly, water management). How these benefits influence consumer choice and perceived value of native versus introduced plants is not well understood.
Alicia Rihn +3 more
wiley +1 more source
Studies of delay discounting typically have involved choices between smaller, immediate outcomes and larger, delayed outcomes. In a study of delay discounting in humans, Green, Myerson, and Macaux (2005) added a period of time prior to both outcomes ...
Amanda L. Calvert +2 more
doaj +1 more source
Assessing the Impact of Promotions on Consumer Purchasing Behavior During Crises
ABSTRACT Understanding how households modify their food expenditure decisions during times of crisis is essential because consumer purchasing behavior frequently changes during these times. This study looks at these behavioral shifts during the COVID‐19 pandemic, concentrating on how price sensitivity and response to sales promotions changed over the ...
Wafa Mehaba, José María Gil
wiley +1 more source
Cost‐Benefit Analysis of the European Union Carbon Border Adjustment Mechanism in Fertilizer Trade
ABSTRACT The carbon border adjustment mechanism (CBAM), launching 2026, will charge EU importers for embedded carbon emissions, aiming to reduce emissions but raising import costs. Shifts in demand following implementation may reduce carbon emissions, but importers will bear the cost of increased prices.
Natalie Crisci +3 more
wiley +1 more source
Temporal discounting and inter-temporal choice in rhesus monkeys
Humans and animals are more likely to take an action leading to an immediate reward than actions with delayed rewards of similar magnitudes. Although such devaluation of delayed rewards has been almost universally described by hyperbolic discount ...
Jaewon Hwang, Soyoun Kim, Daeyeol Lee
doaj +1 more source
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
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
wiley +1 more source
Hierarchical Bayesian modeling of intertemporal choice [PDF]
There is a growing interest in studying individual differences in choices that involve trading off reward amount and delay to delivery because such choices have been linked to involvement in risky behaviors, such as substance abuse.
Melisa E. Chávez +3 more
doaj
Obesity and Hyperbolic Discounting: An Experimental Analysis
Models of rational addiction suggest that obesity is consistent with time-consistent preferences. Behavioral economists maintain that addictions such as alcoholism, smoking and over-eating represent examples of present-bias in decision making that is ...
Timothy J. Richards, Stephen F. Hamilton
doaj +1 more source
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source

