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Stochasticity, Nonlinear Value Functions, and Update Rules in Learning Aesthetic Biases
A theoretical framework for the reinforcement learning of aesthetic biases was recently proposed based on brain circuitries revealed by neuroimaging. A model grounded on that framework accounted for interesting features of human aesthetic biases. These features included individuality, cultural predi...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8141583/ https://www.ncbi.nlm.nih.gov/pubmed/34040509 http://dx.doi.org/10.3389/fnhum.2021.639081 |