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CogSci: Interdisciplinary Study of the Mind @UC2PfbaMZFzPrLMPJ-HfJ78A@youtube.com

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The Cognitive Science Society brings together researchers fr


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Why are there so many languages in the world? – 2023 CogSci Mind Challenge
04:54
Why are there so many languages in the world? – 2023 CogSci Mind Challenge
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Why are there so many languages in the world? – 2023 CogSci Mind Challenge
04:53
Why are there so many languages in the world? – 2023 CogSci Mind Challenge
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CogSci 2024 Promo
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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
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T39.4: Of mouses and mans: The role of production and feedback in language learning
25:18
T36.1: Backgroundedness Predicts Island Status of Non-finite Adjuncts in English
16:15
T14.2: A milestone in the development of verbal reference: Learning words for unseen objects
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T20.5: Alignment of Knowing Versus Feeling the Emotion in Music During Middle-Childhood
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T20.4: Modeling Cue-Integration in Emotion Inferences
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T20.3: Categorizing Ambiguous Facial Expressions
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T20.2: Exploring the Racial Bias in Pain Detection with a Computer Vision Model
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T20.1: Attentional Bias for Self-Face Investigation Using Drift Diffusion Modelling
11:42
T19.5: Preschoolers and Adults Make Inferences From Novel Metaphors
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T19.4: Mapping Words to the World: Adults Prioritize Grammar, But Children Prioritize Descriptions
10:08
T19.3: From Doggy to Dog: Developmental Shifts in Children's Use of Register-Specific Words
16:16
T19.2: "Most" is Easy but "Least" is Hard: Novel Determiner Learning in 4-Year-Olds
16:38
T19.1: Cross-Modal Perceptual Learning in Learning a Tonal Language
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T18.5: Structured, Flexible, and Robust . . .
14:03
T18.4: A Neural Dynamic Model Perceptually Grounds Nested Noun Phrases
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T18.3: Semantic Features of Object Concepts Generated with GPT-3
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T18.2: Getting Situated: Comparative Analysis of Language Models With Experimental Categorization...
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T41.5: Evaluations of Causal Claims Reflect a Trade-Off Between Informativeness and Compression
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T17.5: Testing a Unified Model of Arithmetic
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T17.4: The Effects of Person vs. Computer Feedback on Children's Performance in Mathematics
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T41.4: Measuring and Modeling Confidence in Human Causal Judgment
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T17.3: Adolescents are Most Motivated by Encouragement From Someone Who Knows Their Abilities . . .
16:32
T17.2: Inhibitory Control Predicts Academic Performance Beyond Fluid Intelligence and Processing . .
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T41.3: Dissecting causal asymmetries in inductive generalization
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T17.1: There Must Be Another Way! . . .
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T41.2: Clarifying the Causal Logic of a Classic Control of Variables Task
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T16.5: Question-Answer Dynamics in Deductive Fallacies Without Language
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T16.4: Generalizing Syllogistic Reasoning: Extending Syllogisms to General Quantifiers
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T41.1: Transferring Novel Causal Knowledge
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T16.3: Argument-Making in the Wild
19:52
T40.5: Noun phrase representational complexity reduces maintenance cost in working memory by ...
11:53
T16.2: Function, Mechanism, & the Order of Explanations
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T16.1: What is the CRT? Intelligence, Personality, Decision Style or Attention?
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T15.5: No Privileged Link Between Intentionality and Causation
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T15.4: Domain-General Modal Spaces Play a Foundational Role Throughout High-Level Cognition
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T40.3: Modeling the effect of chained study in transitive inference
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T40.2: Effects of Iconicity in Recognition Memory
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T15.2: Eye Tracking Mental Simulation During Causal Judgment
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T14.5: Estimating Demographic Bias on Tests of Children’s Early Vocabulary
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T40.1: Retention of Exemplar-Specific Information in Learning of Real-World High-Dimensional ...
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T14.4: Language Learners’ Unacceptability Judgments Improve with Repeated Exposure . . .
20:32
T39.5: Quantifying cross-situational statistics during parent-child toy play
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T39.1: Language Learning from Communicative Goals and Linguistic Input
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T38.5: How the cognitive mechanisms underlying fast choices influence information spread and ...
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T14.3: Does Contextual Diversity Hinder Early Word Acquisition?
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T38.4: Diversity and homophily in social networks
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T38.3: In the Dark: Agent-Based Modeling of Uninformed Individuals within Polarized Groups
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T14.1: Immature Vocalizations Simplify the Speech of Tseltal Mayan and US Caregivers
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T38.2: Inferring the internal structure of social collectives
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T37.5: Stop, children what’s that sound? Multi-modal inference through mental simulation
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T13.4: So much for Plain Language: An Analysis of the Accessibility of US Federal Laws (1951-2009)