Unsupervised Learning of Reflexive and Action-Based Affordances to Model Adaptive Navigational Behavior

Here we introduce a cognitive model capable to model a variety of behavioral domains and apply it to a navigational task. We used place cells as sensory representation, such that the cells’ place fields divided the environment into discrete states. The robot learns knowledge of the environment by me...

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Detalles Bibliográficos
Autores principales: Weiller, Daniel, Läer, Leonhard, Engel, Andreas K., König, Peter
Formato: Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2010
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2871689/
https://www.ncbi.nlm.nih.gov/pubmed/20485463
http://dx.doi.org/10.3389/fnbot.2010.00002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2871689/
https://www.ncbi.nlm.nih.gov/pubmed/20485463
http://dx.doi.org/10.3389/fnbot.2010.00002

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