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Arbitrating Computational Models of Observational Learning

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.

from journals https://ift.tt/36kE8r4
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