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A Bayesian Foundation for Individual Learning Under Uncertainty
Computational learning models are critical for understanding mechanisms of adaptive behavior. However, the two major current frameworks, reinforcement learning (RL) and Bayesian learning, both have certain limitations. For example, many Bayesian models are agnostic of inter-individual variability an...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Research Foundation
2011
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3096853/ https://www.ncbi.nlm.nih.gov/pubmed/21629826 http://dx.doi.org/10.3389/fnhum.2011.00039 |