Inferring on the Intentions of Others by Hierarchical Bayesian Learning
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DOI: 10.1371/journal.pcbi.1003810
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- Payam Piray & Nathaniel D. Daw, 2024. "Computational processes of simultaneous learning of stochasticity and volatility in humans," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
- Caroline J. Charpentier & Qianying Wu & Seokyoung Min & Weilun Ding & Jeffrey Cockburn & John P. O’Doherty, 2024. "Heterogeneity in strategy use during arbitration between experiential and observational learning," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
- Florent Meyniel & Maxime Maheu & Stanislas Dehaene, 2016. "Human Inferences about Sequences: A Minimal Transition Probability Model," PLOS Computational Biology, Public Library of Science, vol. 12(12), pages 1-26, December.
- Payam Piray & Nathaniel D. Daw, 2021. "A model for learning based on the joint estimation of stochasticity and volatility," Nature Communications, Nature, vol. 12(1), pages 1-16, December.
- repec:cup:judgdm:v:16:y:2021:i:6:p:1413-1438 is not listed on IDEAS
- Jacqueline N. Zadelaar & Joost A. Agelink van Rentergem & Jessica V. Schaaf & Tycho J. Dekkers & Nathalie de Vent & Laura M. S. Dekkers & Maria C. Olthof & Brenda R. J. Jansen & Hilde M. Huizenga, 2021. "Development of decision making based on internal and external information: A hierarchical Bayesian approach," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 16(6), pages 1413-1438, November.
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