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Volumn 37, Issue 3, 2009, Pages 249-264

The role of learning data in causal reasoning about observations and interventions

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CAUSAL MODELING; DECISION MAKING; EXPERIMENTAL STUDY; INTERVENTION STUDY; KNOWLEDGE; LEARNING; OBSERVATION; OBSERVATIONAL STUDY; PARAMETER; PREDICTION; STRENGTH; CONCEPT FORMATION; HUMAN; LOGIC; PROBLEM SOLVING; RECOGNITION; THEORETICAL MODEL;

EID: 65549145542     PISSN: 0090502X     EISSN: None     Source Type: Journal    
DOI: 10.3758/MC.37.3.249     Document Type: Article
Times cited : (32)

References (42)
  • 2
    • 33144471676 scopus 로고    scopus 로고
    • Causal reasoning in rats
    • DOI 10.1126/science.1121872
    • BLAISDELL, A. P., SAWA, K., LEISING, K. J., & WALDMANN, M. R. (2006). Causal reasoning in rats. Science, 311, 1020-1022. (Pubitemid 43271732)
    • (2006) Science , vol.311 , Issue.5763 , pp. 1020-1022
    • Blaisdell, A.P.1    Sawa, K.2    Leising, K.J.3    Waldmann, M.R.4
  • 3
    • 0039630447 scopus 로고    scopus 로고
    • From Covariation to Causation: A Causal Power Theory
    • DOI 10.1037//0033-295X.104.2.367
    • CHENG, P. (1997). From covariation to causation: A causal power theory. Psychological Review, 104, 367-405. (Pubitemid 127055498)
    • (1997) Psychological Review , vol.104 , Issue.2 , pp. 367-405
    • Cheng, P.W.1
  • 4
    • 0036679398 scopus 로고    scopus 로고
    • Influence diagrams for causal modeling and inference
    • DAWID, A. P. (2002). Influence diagrams for causal modeling and inference. International Statistical Review, 70, 161-189.
    • (2002) International Statistical Review , vol.70 , pp. 161-189
    • Dawid, A.P.1
  • 6
    • 23844469518 scopus 로고    scopus 로고
    • Evidence for the role of higher order reasoning processes in cue competition and other learning phenomena
    • DE HOUWER, J., BECKERS, T., & VANDORPE, S. (2005). Evidence for the role of higher order reasoning processes in cue competition and other learning phenomena. Learning & Behavior, 33, 239-249. (Pubitemid 44698722)
    • (2005) Learning and Behavior , vol.33 , Issue.2 , pp. 239-249
    • De Houwer, J.1    Beckers, T.2    Vandorpe, S.3
  • 9
    • 19644394949 scopus 로고    scopus 로고
    • Likelihood ratios: A simple and flexible statistic for empirical psychologists
    • GLOVER, S., & DIXON, P. (2004). Likelihood ratios: A simple and flexible statistic for empirical psychologists. Psychonomic Bulletin & Review, 11, 791-806. (Pubitemid 41350576)
    • (2004) Psychonomic Bulletin and Review , vol.11 , Issue.5 , pp. 791-806
    • Glover, S.1    Dixon, P.2
  • 10
    • 0037219403 scopus 로고    scopus 로고
    • Learning, prediction and causal Bayes nets
    • DOI 10.1016/S1364-6613(02)00009-8, PII S1364661302000098
    • GLYMOUR, C. (2003). Learning, prediction and causal Bayes nets. Trends in Cognitive Sciences, 7, 43-48. (Pubitemid 36051053)
    • (2003) Trends in Cognitive Sciences , vol.7 , Issue.1 , pp. 43-48
    • Glymour, C.1
  • 11
    • 0742271426 scopus 로고    scopus 로고
    • A Theory of Causal Learning in Children: Causal Maps and Bayes Nets
    • DOI 10.1037/0033-295X.111.1.3
    • GOPNIK, A., GLYMOUR, C., SOBEL, D. M., SCHULZ, L. E., KUSHNIR, T., & DANKS, D. (2004). A theory of causal learning in children: Causal maps and Bayes nets. Psychological Review, 111, 3-32. (Pubitemid 38157072)
    • (2004) Psychological Review , vol.111 , Issue.1 , pp. 3-32
    • Gopnik, A.1    Sobel, D.M.2    Danks, D.3    Glymour, C.4    Schulz, L.E.5    Kushnir, T.6
  • 13
    • 28144442965 scopus 로고    scopus 로고
    • Structure and strength in causal induction
    • GRIFFITHS, T. L., & TENENBAUM, J. B. (2005). Structure and strength in causal induction. Cognitive Psychology, 51, 354-384.
    • (2005) Cognitive Psychology , vol.51 , pp. 354-384
    • Griffiths, T.L.1    Tenenbaum, J.B.2
  • 16
    • 0004271399 scopus 로고
    • Cambridge, MA: Harvard University Press
    • LEWIS, D. (1973). Counterfactuals. Cambridge, MA: Harvard University Press.
    • (1973) Counterfactuals
    • Lewis, D.1
  • 19
    • 50949085910 scopus 로고    scopus 로고
    • Inferring interventional predictions from observational learning data
    • MEDER, B., HAGMAYER, Y., & WALDMANN, M. R. (2008). Inferring interventional predictions from observational learning data. Psychonomic Bulletin & Review, 15, 75-80.
    • (2008) Psychonomic Bulletin & Review , vol.15 , pp. 75-80
    • Meder, B.1    Hagmayer, Y.2    Waldmann, M.R.3
  • 23
    • 21844496586 scopus 로고
    • Associative and Rule-Based Accounts of Cue Interaction in Contingency Judgment
    • DOI 10.1037//0278-7393.21.6.1639
    • PRICE, P. C., & YATES, J. F. (1995). Associative and rulebased accounts of cue interaction in contingency judgment. Journal of Experimental Psychology: Learning, Memory, & Cognition, 21, 1639-1655. (Pubitemid 126004998)
    • (1995) Journal of Experimental Psychology. Learning, Memory, and Cognition , vol.21 , Issue.6 , pp. 1639-1655
    • Price, P.C.1    Yates, J.F.2
  • 24
    • 84995106683 scopus 로고
    • On similarities between causal judgments in experienced and described situations
    • SHANKS, D. R. (1991). On similarities between causal judgments in experienced and described situations. Psychological Science, 5, 341-350.
    • (1991) Psychological Science , vol.5 , pp. 341-350
    • Shanks, D.R.1
  • 25
    • 33947137645 scopus 로고    scopus 로고
    • Associationism and cognition: Human contingency learning at 25
    • SHANKS, D. R. (2007). Associationism and cognition: Human contingency learning at 25. Quarterly Journal of Experimental Psychology, 60, 291-309.
    • (2007) Quarterly Journal of Experimental Psychology , vol.60 , pp. 291-309
    • Shanks, D.R.1
  • 29
    • 0033177573 scopus 로고    scopus 로고
    • When possibility informs reality: Counterfactual thinking as a cue to causality
    • SPELLMAN, B. A., & MANDEL, D. R. (1999). When possibility informs reality: Counterfactual thinking as a cue to causality. Current Directions in Psychological Science, 8, 120-123.
    • (1999) Current Directions in Psychological Science , vol.8 , pp. 120-123
    • Spellman, B.A.1    Mandel, D.R.2
  • 31
    • 0037564509 scopus 로고    scopus 로고
    • Inferring causal networks from observations and interventions
    • DOI 10.1016/S0364-0213(03)00010-7, PII S0364021303000107
    • STEYVERS, M., TENENBAUM, J. B., WAGENMAKERS, E.-J., & BLUM, B. (2003). Inferring causal networks from observations and interventions. Cognitive Science, 27, 453-489. (Pubitemid 36598417)
    • (2003) Cognitive Science , vol.27 , Issue.3 , pp. 453-489
    • Steyvers, M.1    Tenenbaum, J.B.2    Wagenmakers, E.-J.3    Blum, B.4
  • 32
    • 33947179871 scopus 로고    scopus 로고
    • Predictions and causal estimations are not supported by the same associative structure
    • VADILLO, M. A., & MATUTE, H. (2007). Predictions and causal estimations are not supported by the same associative structure. Quarterly Journal of Experimental Psychology, 60, 433-447.
    • (2007) Quarterly Journal of Experimental Psychology , vol.60 , pp. 433-447
    • Vadillo, M.A.1    Matute, H.2
  • 33
    • 23844511580 scopus 로고    scopus 로고
    • Causal and predictive-value judgments, but not predictions, are based on cue-outcome contingency
    • VADILLO, M. A., MILLER, R. R., & MATUTE, H. (2005). Causal and predictive-value judgments, but not predictions, are based on cue- outcome contingency. Learning & Behavior, 33, 172-183. (Pubitemid 44698717)
    • (2005) Learning and Behavior , vol.33 , Issue.2 , pp. 172-183
    • Vadillo, M.A.1    Miller, R.R.2    Matute, H.3
  • 34
    • 77956657427 scopus 로고    scopus 로고
    • Knowledge-based causal induction
    • D. R. Shanks, K. J. Holyoak, & D. L. Medin (Eds.), San Diego: Academic Press
    • WALDMANN, M. R. (1996). Knowledge-based causal induction. In D. R. Shanks, K. J. Holyoak, & D. L. Medin (Eds.), The psychology of learning and motivation, Vol.34: Causal learning (pp. 47-88). San Diego: Academic Press.
    • (1996) The Psychology of Learning and Motivation, Vol.34: Causal Learning , pp. 47-88
    • Waldmann, M.R.1
  • 37
    • 0034781686 scopus 로고    scopus 로고
    • Estimating causal strength: The role of structural knowledge and processing effort
    • DOI 10.1016/S0010-0277(01)00141-X, PII S001002770100141X
    • WALDMANN, M. R., & HAGMAYER, Y. (2001). Estimating causal strength: The role of structural knowledge and processing effort. Cognition, 82, 27-58. (Pubitemid 32979184)
    • (2001) Cognition , vol.82 , Issue.1 , pp. 27-58
    • Waldmann, M.R.1    Hagmayer, Y.2
  • 39
    • 33845620653 scopus 로고    scopus 로고
    • Beyond the information given: Causal models in learning and reasoning
    • DOI 10.1111/j.1467-8721.2006.00458.x
    • WALDMANN, M. R., HAGMAYER, Y., & BLAISDELL, A. P. (2006). Beyond the information given: Causal models in learning and reasoning. Current Directions in Psychological Science, 15, 307-311. (Pubitemid 44952729)
    • (2006) Current Directions in Psychological Science , vol.15 , Issue.6 , pp. 307-311
    • Waldmann, M.R.1    Hagmayer, Y.2    Blaisdell, A.P.3
  • 40
    • 0026871924 scopus 로고
    • Predictive and diagnostic learning within causal models: Asymmetries in cue competition
    • WALDMANN, M. R., & HOLYOAK, K. J. (1992). Predictive and diagnostic learning within causal models: Asymmetries in cue competition. Journal of Experimental Psychology: General, 121, 222-236.
    • (1992) Journal of Experimental Psychology: General , vol.121 , pp. 222-236
    • Waldmann, M.R.1    Holyoak, K.J.2
  • 41
    • 23844459299 scopus 로고    scopus 로고
    • Competence and performance in causal learning
    • WALDMANN, M. R., & WALKER, J. M. (2005). Competence and performance in causal learning. Learning & Behavior, 33, 211-229. (Pubitemid 44698720)
    • (2005) Learning and Behavior , vol.33 , Issue.2 , pp. 211-229
    • Waldmann, M.R.1    Walker, J.M.2


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