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Humans primarily use model-based inference in the two-stage task (2020)
Journal Article
Feher da Silva, C., & Hare, T. A. (2020). Humans primarily use model-based inference in the two-stage task. Nature Human Behaviour, 4(10), 1053–1066. https://doi.org/10.1038/s41562-020-0905-y

Distinct model-free and model-based learning processes are thought to drive both typical and dysfunctional behaviours. Data from two-stage decision tasks have seemingly shown that human behaviour is driven by both processes operating in parallel. How... Read More about Humans primarily use model-based inference in the two-stage task.

Exploration and recency as the main proximate causes of probability matching: a reinforcement learning analysis (2017)
Journal Article
Feher da Silva, C., Victorino, C. G., Caticha, N., & Baldo, M. V. C. (2017). Exploration and recency as the main proximate causes of probability matching: a reinforcement learning analysis. Scientific Reports, 7(1), Article 15326. https://doi.org/10.1038/s41598-017-15587-z

Research has not yet reached a consensus on why humans match probabilities instead of maximise in a probability learning task. The most influential explanation is that they search for patterns in the random sequence of outcomes. Other explanations, s... Read More about Exploration and recency as the main proximate causes of probability matching: a reinforcement learning analysis.