A theory of causal learning in children: causal maps and Bayes nets.
about
Selectionist and evolutionary approaches to brain function: a critical appraisalRational snacking: young children's decision-making on the marshmallow task is moderated by beliefs about environmental reliabilityFoundations for a new science of learning.Probabilistic brains: knowns and unknownsNeurocognitive mechanisms of statistical-sequential learning: what do event-related potentials tell us?Causal reasoning with mental modelsReasoning about causal relationships: Inferences on causal networksRegarding reality: some consequences of two incapacitiesInfants consider both the sample and the sampling process in inductive generalizationBuilding Machines That Learn and Think Like PeopleYoung children infer causal strength from probabilities and interventions.Philosophical issues about concepts.When vision is not an option: children's integration of auditory and haptic information is suboptimal.Does Causality Matter More Now? Increase in the Proportion of Causal Language in English Texts.Goal-directed decision making as probabilistic inference: a computational framework and potential neural correlates.Causal inference in multisensory perception.The role of learning data in causal reasoning about observations and interventions.Learning from others: children's construction of concepts.Action understanding in the superior temporal sulcus regionThe Feasibility of Folk Science.The ghosts in the computer: the role of agency and animacy attributions in "ghost controls".Statistically optimal perception and learning: from behavior to neural representationsGoal-directed decision making in prefrontal cortex: A computational framework.Mind the gap: investigating toddlers' sensitivity to contact relations in predictive events.Learning about causes from people: observational causal learning in 24-month-old infantsAbstract knowledge in the broken-string problem: evidence from nonhuman primates and pre-schoolersSpecifying the role of function in infant categorization.Giving the giggles: prediction, intervention, and young children's representation of psychological events.Do capuchin monkeys (Cebus apella) diagnose causal relations in the absence of a direct reward?Explanation and understanding.Causal beliefs about depression in different cultural groups-what do cognitive psychological theories of causal learning and reasoning predict?Toddlers infer unobserved causes for spontaneous events.Darwin's mistake: explaining the discontinuity between human and nonhuman minds.Relevance of error: what drives motor adaptation?Pigeons' discrimination of Michotte's launching effect.The human prefrontal cortex mediates integration of potential causes behind observed outcomes.Bayes and blickets: effects of knowledge on causal induction in children and adultsCausal Networks or Causal Islands? The Representation of Mechanisms and the Transitivity of Causal Judgment.The power of possibility: causal learning, counterfactual reasoning, and pretend playJapanese and Canadian Children's Beliefs about Child and Adult Knowledge: A Case for Developmental Equifinality?
P2860
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P2860
A theory of causal learning in children: causal maps and Bayes nets.
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
2004年论文
@zh
2004年论文
@zh-cn
name
A theory of causal learning in children: causal maps and Bayes nets.
@ast
A theory of causal learning in children: causal maps and Bayes nets.
@en
type
label
A theory of causal learning in children: causal maps and Bayes nets.
@ast
A theory of causal learning in children: causal maps and Bayes nets.
@en
prefLabel
A theory of causal learning in children: causal maps and Bayes nets.
@ast
A theory of causal learning in children: causal maps and Bayes nets.
@en
P2093
P1433
P1476
A theory of causal learning in children: causal maps and Bayes nets.
@en
P2093
Clark Glymour
David Danks
David M Sobel
Laura E Schulz
Tamar Kushnir
P356
10.1037/0033-295X.111.1.3
P577
2004-01-01T00:00:00Z