Causal learning across domains

被引:132
|
作者
Schulz, LE [1 ]
Gopnik, A [1 ]
机构
[1] Univ Calif Berkeley, Dept Psychol, Berkeley, CA 94720 USA
关键词
D O I
10.1037/0012-1649.40.2.162
中图分类号
B844 [发展心理学(人类心理学)];
学科分类号
040202 ;
摘要
Five studies investigated (a) children's ability to use the dependent and independent probabilities of events to make causal inferences and (b) the interaction between such inferences and domain-specific knowledge. In Experiment 1, preschoolers used patterns of dependence and independence to make accurate causal inferences in the domains of biology and psychology. Experiment 2 replicated the results in the domain of biology with a more complex pattern of conditional. dependencies. In Experiment 3, children used evidence about patterns of dependence and independence to craft novel interventions across domains. In Experiments 4 and 5, children's sensitivity to patterns of dependence was pitted against their domain-specific knowledge. Children used conditional probabilities to make accurate causal inferences even when asked to violate domain boundaries.
引用
收藏
页码:162 / 176
页数:15
相关论文
共 50 条
  • [41] Models and simulations for learning in complex domains: using causal loop diagrams for assessment and evaluation
    Spector, JM
    Christensen, DL
    Sioutine, AV
    McCormack, D
    COMPUTERS IN HUMAN BEHAVIOR, 2001, 17 (5-6) : 517 - 545
  • [42] Pluralism Across Domains
    Schweikard, David P.
    PHILIP PETTIT: FIVE THEMES FROM HIS WORK, 2016, 1 : 101 - 109
  • [43] Lifted Causal Inference in Relational Domains
    Luttermann, Malte
    Hartwig, Mattis
    Braun, Tanya
    Moeller, Ralf
    Gehrke, Marcel
    CAUSAL LEARNING AND REASONING, VOL 236, 2024, 236 : 827 - 842
  • [44] Discovering domains - On the acquisition of causal connectives
    Evers-Vermeul, Jacqueline
    Sanders, Ted
    JOURNAL OF PRAGMATICS, 2011, 43 (06) : 1645 - 1662
  • [45] Recursion across domains
    Everett, Daniel L.
    Gibson, Edward
    LANGUAGE, 2019, 95 (04) : 777 - 790
  • [46] Domain class consistency based transfer learning for image classification across domains
    Zhang, Lei
    Yang, Jian
    Zhang, David
    INFORMATION SCIENCES, 2017, 418 : 242 - 257
  • [47] Challenges and opportunities in teaching and learning in AskALibrarian chat: differences across subject domains
    Dempsey, Paula R.
    Insua, Glenda M.
    Armstrong, Annie R.
    Hudson, Holly Joy
    Caragher, Kristyn
    McGregor, Mariah
    REFERENCE SERVICES REVIEW, 2024, 52 (03) : 420 - 449
  • [48] Evaluation of maxout activations in deep learning across several big data domains
    Gabriel Castaneda
    Paul Morris
    Taghi M. Khoshgoftaar
    Journal of Big Data, 6
  • [49] Reading fluency and statistical learning across modalities and domains: Online and offline measures
    Lukacs, Agnes
    Dobo, Dorottya
    Szollosi, Agnes
    Nemeth, Kornel
    Lukics, Krisztina Sara
    PLOS ONE, 2023, 18 (03):
  • [50] Learning feature alignment across attribute domains for improving facial beauty prediction
    Sun, Zhishu
    Lin, Luojun
    Yu, Yuanlong
    Jin, Lianwen
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 249