Showing results (1-10 of 19) with videos related to
Sort By:
Pageof 2
Cognitive Science|July 13, 2022
Heavy Tails and the Shape of Modified NumeralsFausto Carcassi, Jakub SzymanikCognition|July 20, 2023
The Boolean Language of Thought is recoverable from learning dataFausto Carcassi, Jakub SzymanikOpen Mind : Discoveries in Cognitive Science|November 28, 2022
Neural Networks Track the Logical Complexity of Boolean ConceptsFausto Carcassi, Jakub SzymanikCognitive Science|August 11, 2021
Monotone Quantifiers Emerge via Iterated LearningFausto Carcassi, Shane Steinert-Threlkeld, Jakub SzymanikCognitive Science|May 14, 2011
Comprehension of simple quantifiers: empirical evaluation of a computational modelJakub Szymanik, Marcin ZajenkowskiCognitive Science|March 18, 2024
Recursive Numeral Systems Optimize the Trade-off Between Lexicon Size and Average Morphosyntactic ComplexityMilica Denić, Jakub SzymanikCognition|November 23, 2019
Ease of learning explains semantic universalsShane Steinert-Threlkeld, Jakub SzymanikJournal of Communication Disorders|September 2, 2011
A computational approach to quantifiers as an explanation for some language impairments in schizophreniaMarcin Zajenkowski, Rafał Styła, Jakub SzymanikJournal of Psycholinguistic Research|December 31, 2013
Working memory mechanism in proportional quantifier verificationMarcin Zajenkowski, Jakub Szymanik, Maria GarraffaCognitive Science|May 17, 2022
Indefinite Pronouns Optimize the Simplicity/Informativeness Trade-OffMilica Denić, Shane Steinert-Threlkeld, Jakub SzymanikPageof 2