about
Salience and Attention in Surprisal-Based Accounts of Language ProcessingSurprise! Infants consider possible bases of generalization for a single input example.Posterior predictive checks can and should be Bayesian: comment on Gelman and Shalizi, 'Philosophy and the practice of Bayesian statistics'.Explaining compound generalization in associative and causal learning through rational principles of dimensional generalization.Learning bundles of stimuli renders stimulus order as a cue, not a confoundAdapting to an Uncertain World: Cognitive Capacity and Causal Reasoning with Ambiguous Observations.Effect of grouping of evidence types on learning about interactions between observed and unobserved causesHow to grow a mind: statistics, structure, and abstraction.Sensitivity to coincidences and paranormal belief.Infants preferentially approach and explore the unexpected.Singular clues to causality and their use in human causal judgment.Effects of symptom presentation order on perceived disease risk.A Contrast-Based Computational Model of Surprise and Its Applications.Nothing Happens by Accident, or Does It? A Low Prior for Randomness Does Not Explain Belief in Conspiracy Theories.Temporal predictability enhances judgements of causality in elemental causal induction from both observation and intervention.Inferring correlations: from exemplars to categories.Bayesian approaches to sensory integration for motor control
P2860
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P2860
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
2006年论文
@zh
2006年论文
@zh-cn
name
From mere coincidences to meaningful discoveries.
@en
type
label
From mere coincidences to meaningful discoveries.
@en
prefLabel
From mere coincidences to meaningful discoveries.
@en
P1433
P1476
From mere coincidences to meaningful discoveries.
@en
P304
P356
10.1016/J.COGNITION.2006.03.004
P577
2006-05-04T00:00:00Z