The emergence of monotone quantifiers via iterated learning
| Authors |
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| Publication date | 2019 |
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| Book title | Creativity + cognition + computation |
| Book subtitle | 41st Annual Meeting of the Cognitive Science Society (CogSci 2019) : Montreal, Canada, 24-27 July 2019 |
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| Event | 41st Annual Meeting of the Cognitive Science Society |
| Volume | Issue number | 1 |
| Pages (from-to) | 190-196 |
| Publisher | Cognitive Science Society |
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| Abstract | Natural languages exhibit many semantic universals: properties of meaning shared across all languages. In this paper, we develop an explanation of one very prominent semantic universal: that all simple determiners denote monotone quantifiers. While existing work has shown that monotone quantifiers are easier to learn, we provide a complete explanation by considering the emergence of quantifiers from the perspective of cultural evolution. In particular, in an iterated learning paradigm,with neural networks as agents, monotone quantifiers regularly evolve. |
| Document type | Conference contribution |
| Language | English |
| Published at | https://cognitivesciencesociety.org/cogsci-2019/ |
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The emergence of monotone quantifiers via iterated learning
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