Modeling decisions from experience: How models with a set of parameters for aggregate choices explain individual choices
One of the paradigms (called “sampling paradigm”) in judgment and decision-making involves decision-makers sample information before making a final consequential choice. In the sampling paradigm, certain computational models have been proposed where a set of single or distribution parameters is cal...
Main Authors: | Neha Sharma, Varun Dutt |
---|---|
Format: | Article |
Language: | English |
Published: |
University Library Heidelberg
2017-10-01
|
Series: | Journal of Dynamic Decision Making |
Subjects: | |
Online Access: | https://journals.ub.uni-heidelberg.de/index.php/jddm/article/view/37687 |
Similar Items
-
Decisions from experience: adaptive information search and choice in younger and older adults
by: Julia eSpaniol, et al.
Published: (2012-03-01) -
Choice-Induced Preference Change and Recollection of Choice in the Free-Choice Paradigm
by: Patrycja Didyk, et al.
Published: (2024-01-01) -
Exploration and exploitation during information search and experimential choice
by: Cleotilde Gonzalez, et al.
Published: (2016-07-01) -
An IT career choice model
by: Andre Calitz, et al.
Published: (2024-12-01) -
Discrete Choice Models with Random Parameters in R: The Rchoice Package
by: Mauricio Sarrias
Published: (2016-10-01)