| Monotone quantifiers emerge via iterated learning F Carcassi, S Steinert‐Threlkeld, J Szymanik Cognitive Science 45 (8), e13027, 2021 | 16 | 2021 |
| Assertion, denial, and the evolution of boolean operators F Carcassi, G Sbardolini Mind & Language 38 (5), 1187-1207, 2023 | 12 | 2023 |
| Cultural evolution of scalar categorization: How cognition and communication affect the structure of categories on scalar conceptual domains F Carcassi The University of Edinburgh, 2020 | 10 | 2020 |
| The emergence of monotone quantifiers via iterated learning F Carcassi, S Steinert-Threlkeld, J Szymanik OSF, 2019 | 9 | 2019 |
| The evolution of adjectival monotonicity F Carcassi, M Schouwstra, S Kirby Proceedings of Sinn und Bedeutung 23 (1), 219-230, 2019 | 8 | 2019 |
| An alternatives account of" most" and" more than half" F Carcassi, J Szymanik Glossa 6 (1), 14601-14640, 2021 | 7 | 2021 |
| 'Most'vs' More Than Half': An Alternatives Explanation F Carcassi, J Szymanik Proceedings of the Society for Computation in LinguisticsProceedings of the …, 2021 | 5 | 2021 |
| How to handle the truth: A model of politeness as strategic truth-stretching F Carcassi, M Franke | 3 | 2023 |
| Neural Networks Track the Logical Complexity of Boolean Concepts F Carcassi, J Szymanik Open Mind 6, 132-146, 2022 | 2 | 2022 |
| Updates and Boolean universals F Carcassi, G Sbardolini Ms., University of Amsterdam, 2021 | 2 | 2021 |
| The advantage of extreme meanings in cultural evolution F Carcassi, M Schouwstra, S Kirby The evolution of language: Proceedings of the 13th international conference …, 2020 | 2 | 2020 |
| The Boolean Language of Thought is recoverable from learning data F Carcassi, J Szymanik Cognition 239, 105541, 2023 | 1 | 2023 |
| Heavy tails and the shape of modified numerals F Carcassi, J Szymanik Cognitive Science 46 (7), e13176, 2022 | 1 | 2022 |
| The Shape of Modified Numerals F Carcassi, J Szymanik Proceedings of the Annual Meeting of the Cognitive Science Society 43 (43), 2021 | 1 | 2021 |
| Cognitive Modeling with Scaffolded LLMs: A Case Study of Referential Expression Generation P Tsvilodub, M Franke, F Carcassi arXiv preprint arXiv:2407.03805, 2024 | | 2024 |
| Bayesian Statistical Modeling with Predictors from LLMs M Franke, P Tsvilodub, F Carcassi arXiv preprint arXiv:2406.09012, 2024 | | 2024 |
| Proceedings of the 24th Amsterdam Colloquium F Carcassi, T Johnson, SB Knudstorp, SD Parrado, PR Robledo, ... | | 2024 |
| Word order and the learnability of artificial languages B van Tiel, F Carcassi, XY Zheng Proceedings of the Annual Meeting of the Cognitive Science Society 46, 2024 | | 2024 |
| The Cultural Evolution of Scalar Categorization F Carcassi PhD Thesis, University of Edinburgh, Edinburgh, 2020 | | 2020 |
| The evolution of scalar terms’ semantic structure F Carcassi, M Schouwstra, S Kirby BOOK OF ABSTRACTS, 490, 2018 | | 2018 |
Jakub SzymanikCenter for Mind and Brain Sciences, University of TrentoBestätigte E-Mail-Adresse bei unitn.it