Types of approximation for probabilistic cognition: Sampling and variational.
A basic challenge for probabilistic models of cognition is explaining how probabilistically correct solutions are approximated by the limited brain, and how to explain mismatches with human behavior. An emerging approach to solving this problem is to use the same approximation algorithms that were b...
| Publicado en: | Brain & Cognition Vol. 112; pp. 98 - 102 |
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| Autor principal: | |
| Formato: | review Journal Article |
| Publicado: |
Academic Press Inc.
Mar2017
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| Acceso en línea: | Ver este registro en EBSCOhost |