Learning to Allocate Limited Time to Decisions with Different Expected Outcomes

The goal of this article is to investigate how human participants allocate their limited time to decisions with different properties. We report the results of two behavioral experiments. In each trial of the experiments, the participant must accumulate noisy information to make a decision. The parti...

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Veröffentlicht in:	arXiv.org 2016-07
Hauptverfasser:	Khodadadi, Arash, Fakhari, Pegah, Busemeyer, Jerome R
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bayesian analysis Decisions Experiments Feedback Machine learning Mathematical models Thresholds
Online-Zugang:	Volltext
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