A computational model for individual differences in nonreinforced learning.

Authors

Nathaniel D. Daw (ORCID: https://orcid.org/0000-0001-5029-1430)
Tom Salomon (ORCID: https://orcid.org/0000-0002-1417-8163)
Alon Itzkovitch
Tom Schönberg (ORCID: https://orcid.org/0000-0002-4485-816X)

Institutions

Tel Aviv University (IL)
Princeton University (US)

Publication Details

Journal: Journal of Experimental Psychology General
Published: 2025-05-22
DOI: https://doi.org/10.1037/xge0001739
Citations: 1
Primary Topic: Intelligent Tutoring Systems and Adaptive Learning
Type: article
Field-Weighted Citation Impact: 2.48

Funders

Israel Science Foundation

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article

A computational model for individual differences in nonreinforced learning.

Nathaniel D. Daw, Tom Salomon, Alon Itzkovitch, Tom Schönberg

May 22, 2025

1 citations

Journal of Experimental Psychology General

Intelligent Tutoring Systems and Adaptive Learning

2.48

article

A computational model for individual differences in nonreinforced learning.

Nathaniel D. Daw, Tom Salomon, Alon Itzkovitch, Tom Schönberg

May 22, 2025article en

1 citations

Abstract

No abstract available for this paper.

Journal of Experimental Psychology GeneralVol. 154(7)

Tel Aviv University (IL), Princeton University (US)

Israel Science Foundation

Openalex Percentile: Top 10%

Intelligent Tutoring Systems and Adaptive Learning

2.48

DOI Source OpenAlex

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A computational model for individual differences in nonreinforced learning. — Nathaniel D. Daw, Tom Salomon, et al. · Journal of Experimental Psychology General (2025) | TGRS Research Map | TGRS