Computational mechanisms underlying latent value updating of unchosen actions

Current studies suggest that individuals estimate the value of their choices based on observed feedback. Here, we ask whether individuals also update the value of their unchosen actions, even when the associated feedback remains unknown. One hundred and seventy-eight individuals completed a multi-armed bandit task, making choices to gain rewards. We found robust evidence suggesting latent value updating of unchosen actions based on the chosen action’s outcome. Computational modeling results suggested that this effect is mainly explained by a value updating mechanism whereby individuals integrate the outcome history for choosing an option with that of rejecting the alternative. Properties of the deliberation (i.e., duration/difficulty) did not moderate the latent value updating of unchosen actions, suggesting that memory traces generated during deliberation might take a smaller role in this specific phenomenon than previously thought. We discuss the mechanisms facilitating credit assignm..., , , This README file was generated on 2023-08-31 by Ido Ben-Artzi.

## GENERAL INFORMATION

1. **Title of Dataset:**
Computational mechanisms underlying latent value updating of unchosen actions
2. **Author Information:**
*A. Principal Investigator Contact Information:*
Name: Nitzan Shahar
Institution: Tel Aviv University
Email: [e-mail]

*B. Corresponding author Contact Information:*
Name: Ido Ben-Artzi
Institution: Tel AVIV University
Email: [e-mail]
3. **Date of data collection:**
2020
4. **Location of data collection:**
Online experiment, conducted using the prolific platform
5. **Information about funding sources that supported the collection of the data:**
Israel Science Foundation, Grant #2536/20 given to Nitzan Shahar.

## DATA & FILE OVERVIEW

1. **File List:**

A. df\_raw.csv
B. preprocessing.R
C. df.rdata
D. regression.zip
E. null\_model.R
F. null\_model.stan
G. null...