Infants consider both the sample and the sampling process in inductive generalization
about
Building Machines That Learn and Think Like PeopleSurprise! Infants consider possible bases of generalization for a single input example.Learning to represent a multi-context environment: more than detecting changes.Contributions of attachment theory and research: a framework for future research, translation, and policy.Bimanual proprioception: are two hands better than one?Non-Bayesian noun generalization in 3- to 5-year-old children: probing the role of prior knowledge in the suspicious coincidence effectAn investigation of the "jumping to conclusions" data-gathering bias and paranoid thoughts in Asperger syndrome.Children's Pragmatic Inferences as a Route for Learning About the World.Reconstructing constructivism: causal models, Bayesian learning mechanisms, and the theory theoryInfants' Looking to Surprising Events: When Eye-Tracking Reveals More than Looking TimeSelf-Directed Learning: A Cognitive and Computational Perspective.Bayesian models of child development.Changing minds: Children's inferences about third party belief revision.Little Bayesians or little Einsteins? Probability and explanatory virtue in children's inferences.Expectations about single event probabilities in the first year of life: The influence of perceptual and statistical informationHow robust are probabilistic models of higher-level cognition?Leaping to Conclusions: Why Premise Relevance Affects Argument Strength.Learning From Others: The Consequences of Psychological Reasoning for Human Learning.Concepts and folk theoriesLearning multiple rules simultaneously: Affixes are more salient than reduplications.Infant Statistical Learning.Inductive reasoning 2.0.Novel phonotactic learning: Tracking syllable-position and co-occurrence constraints.Learning the Structure of Social Influence.Causal learning from probabilistic events in 24-month-olds: an action measure.Learning to look: probabilistic variation and noise guide infants' eye movements.To what adaptive problems is human teaching a solution?16-month-olds rationally infer causes of failed actions.Feasibility of event-related potential (ERP) biomarker use to study effects of mother's voice exposure on speech sound differentiation of preterm infants.How young children learn from examples: descriptive and inferential problems.Order Matters: Children's Evaluation of Underinformative Teachers Depends on Context.Causal learning in children.Where did that come from?--Identifying the source of a sample.The Efficiency of Infants' Exploratory Play Is Related to Longer-Term Cognitive Development.Long-tailed macaques (Macaca fascicularis) can use simple heuristics but fail at drawing statistical inferences from populations to samples
P2860
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P2860
Infants consider both the sample and the sampling process in inductive generalization
description
2010 nî lūn-bûn
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2010 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2010年の論文
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2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Infants consider both the sample and the sampling process in inductive generalization
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Infants consider both the sample and the sampling process in inductive generalization
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type
label
Infants consider both the sample and the sampling process in inductive generalization
@ast
Infants consider both the sample and the sampling process in inductive generalization
@en
prefLabel
Infants consider both the sample and the sampling process in inductive generalization
@ast
Infants consider both the sample and the sampling process in inductive generalization
@en
P2093
P2860
P356
P1476
Infants consider both the sample and the sampling process in inductive generalization
@en
P2093
J. B. Tenenbaum
L. E. Schulz
P2860
P304
P356
10.1073/PNAS.1003095107
P407
P577
2010-04-30T00:00:00Z