A Comparison of Reinforcement Learning Models for the Iowa Gambling Task Using Parameter Space Partitioning

Steingroever, Helen; Wetzels, Ruud; Wagenmakers, Eric‐Jan

doi:10.7771/1932-6246.1150

Public

A Comparison of Reinforcement Learning Models for the Iowa Gambling Task Using Parameter Space Partitioning

Published in The Journal of Problem Solving • Apr 18, 2013

Authors:

Helen Steingroever

Ruud Wetzels

Eric‐Jan Wagenmakers

Abstract

The Iowa gambling task (IGT) is one of the most popular tasks used to study decisionmaking deficits in clinical populations. In order to decompose performance on the IGT in its constituent psychological processes, several cognitive models have been proposed (e.g., the Expectancy Valence (EV) and Pro...

Subject

Iowa gambling task

Expectancy theory

Valence (chemistry)

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