Causal learning mechanisms in very young children: two-, three-, and four-year-olds infer causal relations from patterns of variation and covariation.
By Alison Gopnik, David M. Sobel, Laura Schulz, Clark Glymour. 2001
487 citations recorded by the source corpus.
Subfields: Developmental and Educational Psychology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Developmental and Educational Psychology
- Josh Tenenbaum
- T. Griffiths
- Alison Gopnik
- Tomer D. Ullman
- Tina A. Grotzer
- David M. Sobel
- David Dean, Jr.
- Deanna Kuhn
Citations in the corpus
- Learning to Understand the Forms of Causality Implicit in Scientifically Accepted Explanations (2003, background): “According to Batanero, Green, and Serrano (1998), the term 'random' has historically been used in different ways.”
- Reconstructing constructivism: Causal models, Bayesian learning mechanisms and the theory theory (2012, unknown): “Moreover, as we have just seen, children as young as 16 months can actually make these kinds of inferences, and by the time children reach age 4, these inferences are both ubiquitous and sophisticated.”
- Children's causal inferences from indirect evidence: Backwards blocking and Bayesian reasoning in preschoolers (2004, methodology): “Gopnik et al. (2001) concluded that children could use the pattern of independence and conditional independence among events to determine screening-off relations.”
- Connecting Scientific Reasoning and Causal Inference (2004, background): “…a developmental perspective, researchers who have applied an MCI perspective to the study of young children’s causal reasoning (Gopnik & Sobel, 2000; Gopnik et al., 2001; Harris et al., 1996) need to situate their emphases on preschool competence in the broader context of the weaknesses incausal…”
- Where science starts: spontaneous experiments in preschoolers' exploratory play. (2011, unknown): “Thus despite evidence for the sophistication of children’s causal reasoning, previous work falls short of suggesting that children design interventions that respect principles of experimental design: children might both learn from informative evidence (Gopnik et al., 2001; Schulz & Gopnik, 2004; Sch”
- Conscious Processing and the Global Neuronal Workspace Hypothesis (2020, background): “…development of the human brain, behavior, and consciousness (Barresi and Moore, 1996; Casey et al., 2005; Changeux, 2006; Dehaene-Lambertz and Spelke, 2015; De-haene and Changeux, 2011; Filippetti et al., 2015; Gogtay et al., 2004; Gopnik et al., 2001; Lagercrantz and Changeux, 2009; Zelazo, 2004).”