Results 1 to 10 of about 15,583,564 (173)

Evaluation Scale or Output Format: The Attentional Mechanism Underpinning Time Preference Reversal [PDF]

open access: yesFrontiers in Psychology, 2022
Time preference reversals refers to systematic inconsistencies between preferences and valuations in intertemporal choice. When faced with a pair of intertemporal options, people preferred the smaller-sooner option but assign a higher price to the larger-
Yan-Bang Zhou   +4 more
doaj   +6 more sources

Visual attention and time preference reversals [PDF]

open access: yesJudgment and Decision Making, 2021
Time preference reversal refers to systematic inconsistencies between preferences and bids for intertemporal options. From the two eye-tracking studies (N1 = 60, N2 = 110), we examined the underlying mechanisms of time preference reversal.
Yan-Bang Zhou, Qiang Li, Hong-Zhi Liu
doaj   +6 more sources

Preference reversals: Time and again [PDF]

open access: yesJournal of Risk and Uncertainty, 2016
This paper sheds new light on the preference reversal phenomenon by analyzing decision times in the choice task. In a first experiment, we replicated the standard reversal pattern and found that choices associated with reversals take significantly longer than non-reversals, and non-reversal choices take longer whenever long-shot lotteries are selected.
Alós-Ferrer, Carlos   +3 more
openaire   +4 more sources

Dynamic Preference “Reversals” and Time Inconsistency [PDF]

open access: yesAmerican Economic Journal: Microeconomics, 2021
We study the possibility of identifying time-inconsistent preferences in empirical designs where preferences are elicited in advance at time 0 and then again at time 1, after the agent receives additional information. For single-peaked preferences, time consistency is rejected only when the time-1 ranking between a pair of alternatives is always the ...
Philipp Strack, Dmitry Taubinsky
openaire   +1 more source

Using repeatability of performance within and across contexts to validate measures of behavioral flexibility [PDF]

open access: yesPeerJ, 2023
Research into animal cognitive abilities is increasing quickly and often uses methods where behavioral performance on a task is assumed to represent variation in the underlying cognitive trait.
Kelsey McCune   +7 more
doaj   +2 more sources

Removal or component reversal of local geomagnetic field affects foraging orientation preference in migratory insect brown planthopper Nilaparvata lugens [PDF]

open access: yesPeerJ, 2021
Background Migratory brown planthopper Nilaparvata lugens (N. lugens) annually migrates to Northeast Asia in spring and returns to Southeast Asia in autumn.
Yingchao Zhang, Weidong Pan
doaj   +2 more sources

Selection of optimum plant layout using AHP-TOPSIS and WASPAS approaches coupled with Entropy method [PDF]

open access: yesDecision Science Letters, 2022
Layout design and selection often have notable effects on the performance of the manufacturing industry. This research investigates the Multi-Criteria Decision Making (MCDM) approach to find out the optimum plant layout design.
Anand S. Shivade, Sagar U. Sapkal
doaj   +1 more source

Sex differences in learning and performing the Go/NoGo tasks

open access: yesBiology of Sex Differences, 2023
Background The quality of learning and post-learning performances is critical for daily life. The behavioral flexibility is equally important for adapting the changing circumstances. The learning process requires repeated practices, which enhances prompt
Qianwen Zhang   +3 more
doaj   +1 more source

Rebiasing: Managing automatic biases over time

open access: yesFrontiers in Psychology, 2022
Automatic preferences can influence a decision maker’s choice before any relevant or meaningful information is available. We account for this element of human cognition in a computational model of problem solving that involves active trial and error and ...
Aleksey Korniychuk, Eric Luis Uhlmann
doaj   +1 more source

A comparison between fuzzy AHP and fuzzy TOPSIS methods to software requirements selection

open access: yesAlexandria Engineering Journal, 2022
The fuzzy set theory as one of the key agents of artificial intelligence has been used to deal with vagueness and imprecision during the decision-making process.
Mohd. Nazim   +2 more
doaj   +1 more source

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