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Arbitrating Computational Models of Observational Learning

https://doi.org/https://doi.org/10.1016/j.neuron.2020.04.028Get

Gonzalez, Bryan; Chang, Luke J. (May 2020, Neuron)
null (Ed.)
How do we learn in the absence of direct experience? In this issue of Neuron, Charpentier et al. (2020) proposes a new computational account of observational learning, which arbitrates between choice imitation and goal emulation.
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