Samenvatting
In order to gain insight into how people acquire certain reference biases in language and how those biases influence online language processing, we constructed a cognitive model and presented it with a dataset containing reference asymmetries. Via prediction and reinforcement learning, the model was able to pick up on the asymmetries in the input. The model predictions have implications for various accounts of reference processing and demonstrate that seemingly complex behavior can be explained by simple learning mechanisms
Originele taal-2 | English |
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Titel | Proceedings of the 19th International Conference on Cognitive Modelling (ICCM 2021) |
Redacteuren | Terrence C. Stewart |
Plaats van productie | University Park, PA |
Uitgeverij | Applied Cognitive Science Lab, Penn State |
Pagina's | 282-288 |
Aantal pagina's | 7 |
ISBN van elektronische versie | 978-0-9985082-5-2 |
Status | Published - 2021 |
Evenement | International Conference on Cognitive Modeling 2021 - Online Duur: 29-jun.-2021 → 9-jul.-2021 https://mathpsych.org/conference/7/schedule |
Conference
Conference | International Conference on Cognitive Modeling 2021 |
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Verkorte titel | ICCM 2021 |
Periode | 29/06/2021 → 09/07/2021 |
Internet adres |