Do Human Reinforcement Learning Models Account for Key Experimental Choice Patterns in the Iowa Gambling Task?

Janbesaraei, S.N., Rasanan, A.H.H., Nejati, V. et al. (1 more author) (2024) Do Human Reinforcement Learning Models Account for Key Experimental Choice Patterns in the Iowa Gambling Task? Computational Brain & Behavior. ISSN 2522-0861

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Janbesaraei, S.N.
  • Rasanan, A.H.H.
  • Nejati, V.
  • Rad, J.A.
Copyright, Publisher and Additional Information:

© Crown 2024. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecomm ons.org/licenses/by/4.0/.

Keywords: Choice patterns, Cognitive modeling, Iowa gambling task, Model comparison, Parameter space partitioning, Reinforcement learning, Risky decisions
Dates:
  • Accepted: 25 October 2024
  • Published (online): 7 November 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 16 Apr 2025 08:52
Last Modified: 16 Apr 2025 15:10
Published Version: https://link.springer.com/article/10.1007/s42113-0...
Status: Published online
Publisher: Springer
Identification Number: 10.1007/s42113-024-00228-2
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Open Archives Initiative ID (OAI ID):

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