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  1. Shane Steinert-Threlkeld
  2. Jakub Szymanik

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Category: Project

Description: This project explores the evolution of the universal of monotonicity in the semantics of quantifiers with the help of a computational model. It combines the iterated learning paradigm with neural networks as a model of learning. This project contains the data that we present in the paper. The code for reproducing the results is available at

Has supplemental materials for The emergence of monotone quantifiers via iterated learning on PsyArXiv


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