Все публикации

0:04:53

Why are there so many languages in the world? – 2023 CogSci Mind Challenge

0:04:54

Why are there so many languages in the world? – 2023 CogSci Mind Challenge

0:04:41

Why are there so many languages in the world? – 2023 CogSci Mind Challenge

0:05:00

Why are there so many languages in the world? – 2023 CogSci Mind Challenge

0:05:18

CogSci 2024 Promo

0:05:00

Can Machines Think -- Third Place

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Can Machines Think -- First Place

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Can Machines Think -- Second Place

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CogSci 2023 - Sydney, Australia

0:25:18

T36.1: Backgroundedness Predicts Island Status of Non-finite Adjuncts in English

0:15:15

T20.5: Alignment of Knowing Versus Feeling the Emotion in Music During Middle-Childhood

0:15:55

T20.4: Modeling Cue-Integration in Emotion Inferences

0:14:12

T20.3: Categorizing Ambiguous Facial Expressions

0:15:20

T20.1: Attentional Bias for Self-Face Investigation Using Drift Diffusion Modelling

0:11:42

T19.5: Preschoolers and Adults Make Inferences From Novel Metaphors

0:13:21

T19.4: Mapping Words to the World: Adults Prioritize Grammar, But Children Prioritize Descriptions

0:10:08

T19.3: From Doggy to Dog: Developmental Shifts in Children's Use of Register-Specific Words

0:16:16

T19.2: 'Most' is Easy but 'Least' is Hard: Novel Determiner Learning in 4-Year-Olds

0:16:38

T19.1: Cross-Modal Perceptual Learning in Learning a Tonal Language

0:17:13

T18.5: Structured, Flexible, and Robust . . .

0:14:03

T18.4: A Neural Dynamic Model Perceptually Grounds Nested Noun Phrases

0:14:02

T18.3: Semantic Features of Object Concepts Generated with GPT-3

0:11:17

T18.2: Getting Situated: Comparative Analysis of Language Models With Experimental Categorization...

0:22:11

T41.5: Evaluations of Causal Claims Reflect a Trade-Off Between Informativeness and Compression