CORRECTION article

Front. Psychol.

Sec. Decision Neuroscience

Volume 16 - 2025 | doi: 10.3389/fpsyg.2025.1642513

Correction: Forgetting phenomena in the Iowa Gambling Task: a new computational model among diverse participants

Provisionally accepted
  • 1Sun Yat-Sen University School of Artificial Intelligence, Zhuhai, China
  • 2The Chinese University of Hong Kong, Shatin, China

The final, formatted version of the article will be published soon.

Correction on: Yang T, Xie C and Wang X (2025) Forgetting phenomena in the Iowa Gambling Task: a new computational model among diverse participants. Front. Psychol. 16:1510151. doi: 10.3389/fpsyg.2025.1510151 In the published article, there was an error. Two sentences on page 12 (5.1 Extension of EEF model with loss aversion, Paragraph 4&5) used outdated statistical values.A correction has been made to 5.1 Extension of EEF model with loss aversion, Paragraph 4. This sentence previously stated: "Figure 7 shows the comparison of SED and FI, and we can find that although the EEFLA model performed slightly worse than the EEF model (the SED of EEFLA is 1.598, with a difference of 0.106 from the original data, while the SED of EEF has a difference of only 0.008 from the original data; the FI of EEFLA is 4.02, with a difference of 2.22 from the original data, while the FI of EEF has a difference of 2.07), it still outperformed the other models. This indicates that the EEFLA model is still capable of effectively simulating human decision-making behaviors."The corrected sentence appears below: "Figure 7 shows the comparison of SED and FI, and we can find that although the EEFLA model performed slightly worse than the EEF model (the SED of EEFLA is 1.598, with a difference of 0.049 from the original data, while the SED of EEF has a difference of only 0.008 from the original data; the FI of EEFLA is 4.02, with a difference of 2.22 from the original data, while the FI of EEF has a difference of 2.11), it still outperformed most of the other models. This indicates that the EEFLA model is still capable of effectively simulating human decision-making behaviors."A second correction has been made to 5.1 Extension of EEF model with loss aversion, Paragraph 5. This sentence previously stated: "However, it can be seen from Figure 8 that the performance of the EEFLA model is not outstanding in terms of parameter recovery and fixed-effects statistical model analysis. The average correlation coefficient for EEFLA's parameter recovery is 0.77155 (range: 0.60 -0.93),

Keywords: Forgetting Phenomena, Iowa Gambling Task, Exploitation and Exploration with Forgetting model, Sequential Exploration Decay, Forgetting Interval

Received: 06 Jun 2025; Accepted: 17 Jun 2025.

Copyright: © 2025 Yang, XIE and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Xuehe Wang, Sun Yat-Sen University School of Artificial Intelligence, Zhuhai, China

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