A Gopnik

Summary

Affiliation: University of California
Country: USA

Publications

  1. ncbi request reprint A theory of causal learning in children: causal maps and Bayes nets
    Alison Gopnik
    Department of Psychology, University of California, Berkeley, CA 94720, USA
    Psychol Rev 111:3-32. 2004
  2. ncbi request reprint Scientific thinking in young children: theoretical advances, empirical research, and policy implications
    Alison Gopnik
    Department of Psychology, University of California, Berkeley, CA 94720, USA
    Science 337:1623-7. 2012
  3. ncbi request reprint Detecting blickets: how young children use information about novel causal powers in categorization and induction
    A Gopnik
    Department of Psychology, University of California at Berkeley, 94720, USA
    Child Dev 71:1205-22. 2000
  4. ncbi request reprint Causal learning mechanisms in very young children: two-, three-, and four-year-olds infer causal relations from patterns of variation and covariation
    A Gopnik
    Department of Psychology, University of California, Berkeley 94720, USA
    Dev Psychol 37:620-9. 2001
  5. ncbi request reprint Mechanisms of theory formation in young children
    Alison Gopnik
    Department of Psychology, University of California at Berkeley, Berkeley, CA 94720, USA
    Trends Cogn Sci 8:371-7. 2004
  6. ncbi request reprint Rational randomness: the role of sampling in an algorithmic account of preschooler's causal learning
    E Bonawitz
    Department of Psychology, University of California at Berkeley, Berkeley, California, USA
    Adv Child Dev Behav 43:161-91. 2012
  7. pmc Just do it? Investigating the gap between prediction and action in toddlers' causal inferences
    Elizabeth Baraff Bonawitz
    University of California, Berkeley, CA, USA
    Cognition 115:104-17. 2010
  8. ncbi request reprint Bayesian networks, Bayesian learning and cognitive development
    Alison Gopnik
    Department of Psychology, University of California, Berkeley 94720, USA
    Dev Sci 10:281-7. 2007
  9. ncbi request reprint Young children infer causal strength from probabilities and interventions
    Tamar Kushnir
    University of California, Berkeley, CA 94720 1650, USA
    Psychol Sci 16:678-83. 2005
  10. ncbi request reprint Causal learning across domains
    Laura E Schulz
    University of California, Berkeley, CA, USA
    Dev Psychol 40:162-76. 2004

Collaborators

Detail Information

Publications15

  1. ncbi request reprint A theory of causal learning in children: causal maps and Bayes nets
    Alison Gopnik
    Department of Psychology, University of California, Berkeley, CA 94720, USA
    Psychol Rev 111:3-32. 2004
    ..Experimental results suggest that 2- to 4-year-old children construct new causal maps and that their learning is consistent with the Bayes net formalism...
  2. ncbi request reprint Scientific thinking in young children: theoretical advances, empirical research, and policy implications
    Alison Gopnik
    Department of Psychology, University of California, Berkeley, CA 94720, USA
    Science 337:1623-7. 2012
    ..In particular, they suggest both that early childhood experience is extremely important and that the trend toward more structured and academic early childhood programs is misguided...
  3. ncbi request reprint Detecting blickets: how young children use information about novel causal powers in categorization and induction
    A Gopnik
    Department of Psychology, University of California at Berkeley, 94720, USA
    Child Dev 71:1205-22. 2000
    ..These studies demonstrate that even very young children will easily and swiftly learn about a new causal power of an object and spontaneously use that information in classifying and naming the object...
  4. ncbi request reprint Causal learning mechanisms in very young children: two-, three-, and four-year-olds infer causal relations from patterns of variation and covariation
    A Gopnik
    Department of Psychology, University of California, Berkeley 94720, USA
    Dev Psychol 37:620-9. 2001
    ..In a 3rd experiment, 3- and 4-year-old children used the information when they were asked to make the machine stop. These results are related to Bayes-net causal graphical models of causal learning...
  5. ncbi request reprint Mechanisms of theory formation in young children
    Alison Gopnik
    Department of Psychology, University of California at Berkeley, Berkeley, CA 94720, USA
    Trends Cogn Sci 8:371-7. 2004
    ..Specifically, we look at infants and children's ability to learn from evidence in the form of conditional probabilities, interventions and combinations of the two...
  6. ncbi request reprint Rational randomness: the role of sampling in an algorithmic account of preschooler's causal learning
    E Bonawitz
    Department of Psychology, University of California at Berkeley, Berkeley, California, USA
    Adv Child Dev Behav 43:161-91. 2012
    ..As a result, we identify a second factor that should be taken into account in explaining human cognitive development--the nature of the mechanisms that are used in belief revision...
  7. pmc Just do it? Investigating the gap between prediction and action in toddlers' causal inferences
    Elizabeth Baraff Bonawitz
    University of California, Berkeley, CA, USA
    Cognition 115:104-17. 2010
    ..This suggests that causal language may help children extend their initial causal representations beyond agent-initiated and direct contact events...
  8. ncbi request reprint Bayesian networks, Bayesian learning and cognitive development
    Alison Gopnik
    Department of Psychology, University of California, Berkeley 94720, USA
    Dev Sci 10:281-7. 2007
  9. ncbi request reprint Young children infer causal strength from probabilities and interventions
    Tamar Kushnir
    University of California, Berkeley, CA 94720 1650, USA
    Psychol Sci 16:678-83. 2005
    ..Though they again gave preference to their own interventions, they did not do so when their interventions were explicitly confounded by an alternative cause...
  10. ncbi request reprint Causal learning across domains
    Laura E Schulz
    University of California, Berkeley, CA, USA
    Dev Psychol 40:162-76. 2004
    ..Children used conditional probabilities to make accurate causal inferences even when asked to violate domain boundaries...
  11. ncbi request reprint Conceptual coherence in the child's theory of mind: training children to understand belief
    V Slaughter
    University of California, Berkeley, USA
    Child Dev 67:2967-88. 1996
    ..Results are discussed with respect to competing theories of children's intuitive psychological knowledge...
  12. ncbi request reprint Conditional probability versus spatial contiguity in causal learning: Preschoolers use new contingency evidence to overcome prior spatial assumptions
    Tamar Kushnir
    Department of Psychology, University of Michigan, Ann Arbor, MI 48109 1043, USA
    Dev Psychol 43:186-96. 2007
    ..However, children were more likely to make correct inferences when causes were spatially contiguous, particularly when faced with ambiguous evidence...
  13. ncbi request reprint Preschool children learn about causal structure from conditional interventions
    Laura E Schulz
    Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
    Dev Sci 10:322-32. 2007
    ..A third study suggests that children's spontaneous play can generate evidence that would support such accurate causal learning...
  14. ncbi request reprint Reversing how to think about ambiguous figure reversals: spontaneous alternating by uninformed observers
    Stephen R Mitroff
    Center for Cognitive Neuroscience and Department of Psychological and Brain Sciences, Duke University, Box 90999, Durham, NC 27708, USA
    Perception 35:709-15. 2006
    ..Further, those children who make these 'spontaneous' reversals are more likely to succeed on a high-order theory-of-mind task, negating purely bottom-up explanations...
  15. ncbi request reprint Asynchrony in the cognitive and lexical development of young children with Williams syndrome
    Thierry Nazzi
    Laboratoire Cognition et Developpement, CNRS, Paris, France
    J Child Lang 32:427-38. 2005
    ....