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Deterministic response strategies in a trial-and-error learning task
Trial-and-error learning is a universal strategy for establishing which actions are beneficial or harmful in new environments. However, learning stimulus-response associations solely via trial-and-error is often suboptimal, as in many settings dependencies among stimuli and responses can be exploite...
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| Pubblicato in: | PLoS Comput Biol |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6289466/ https://ncbi.nlm.nih.gov/pubmed/30496285 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1006621 |
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