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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...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Research Foundation
2010
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| Materias: | |
| 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 |