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Pragmatically Framed Cross-Situational Noun Learning Using Computational Reinforcement Models
Cross-situational learning and social pragmatic theories are prominent mechanisms for learning word meanings (i.e., word-object pairs). In this paper, the role of reinforcement is investigated for early word-learning by an artificial agent. When exposed to a group of speakers, the agent comes to und...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5797660/ https://www.ncbi.nlm.nih.gov/pubmed/29441027 http://dx.doi.org/10.3389/fpsyg.2018.00005 |