Asymmetric reinforcement learning facilitates human inference of transitive 
relations

Ciranka, Simon; Linde-Domingo, Juan; Padezhki, Ivan; Wicharz, Clara; Wu, Charley M.; Spitzer, Bernhard

doi:10.1038/s41562-021-01263-w

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Asymmetric reinforcement learning facilitates human inference of transitive relations

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Ciranka, Simon
Center for Adaptive Rationality, Max Planck Institute for Human Development, Max Planck Society;
Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK, Max Planck Institute for Human Development, Max Planck Society;

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Linde-Domingo, Juan
Center for Adaptive Rationality, Max Planck Institute for Human Development, Max Planck Society;

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Padezhki, Ivan
Center for Adaptive Rationality, Max Planck Institute for Human Development, Max Planck Society;

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Wicharz, Clara
Center for Adaptive Rationality, Max Planck Institute for Human Development, Max Planck Society;

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Wu, Charley M.
Center for Adaptive Rationality, Max Planck Institute for Human Development, Max Planck Society;

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Spitzer, Bernhard
Center for Adaptive Rationality, Max Planck Institute for Human Development, Max Planck Society;
Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK, Max Planck Institute for Human Development, Max Planck Society;
Research Group Adaptive Memory and Decision Making, Max Planck Institute for Human Development, Max Planck Society;

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https://doi.org/10.1038/s41562-021-01263-w
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Citation

Ciranka, S., Linde-Domingo, J., Padezhki, I., Wicharz, C., Wu, C. M., & Spitzer, B. (2022). Asymmetric reinforcement learning facilitates human inference of transitive relations. Nature Human Behaviour, 6, 555-564. doi:10.1038/s41562-021-01263-w.

Cite as: https://hdl.handle.net/21.11116/0000-0008-406A-9

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