Cargando…
Asymmetric reinforcement learning facilitates human inference of transitive relations
Humans and other animals are capable of inferring never-experienced relations (for example, A > C) from other relational observations (for example, A > B and B > C). The processes behind such transitive inference are subject to intense research. Here we demonstrate a new aspect of relationa...
Autores principales: | Ciranka, Simon, Linde-Domingo, Juan, Padezhki, Ivan, Wicharz, Clara, Wu, Charley M., Spitzer, Bernhard |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9038534/ https://www.ncbi.nlm.nih.gov/pubmed/35102348 http://dx.doi.org/10.1038/s41562-021-01263-w |
Ejemplares similares
-
Reinforcement Learning or Active Inference?
por: Friston, Karl J., et al.
Publicado: (2009) -
Schema-driven facilitation of new hierarchy learning in the transitive inference paradigm
por: Kumaran, Dharshan
Publicado: (2013) -
Asymmetric Airfoil Morphing via Deep Reinforcement Learning
por: Lu, Kelin, et al.
Publicado: (2022) -
Reinforcement and inference in cross-situational word learning
por: Tilles, Paulo F. C., et al.
Publicado: (2013) -
Deep reinforcement learning with significant multiplications inference
por: Ivanov, Dmitry A., et al.
Publicado: (2023)