Beyond the information given: Causal models in learning and reasoning

Current Directions in Psychological Science

Volumn 15, Issue 6, 2006, Pages 307-311

  Waldmann, Michael R ^a   Hagmayer, York ^a   Blaisdell, Aaron P ^b  

^a UNIVERSITY OF GÖTTINGEN   (Germany)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Causality; Learning; Reasoning

Indexed keywords

EID: 33845620653     PISSN: 09637214     EISSN: 14678721     Source Type: Journal    
DOI: 10.1111/j.1467-8721.2006.00458.x     Document Type: Article

References (16)

1. Allan, L.G. (2005). Learning of contingent relationships [Special issue]. Learning & Behavior, 33(2).
2. Blaisdell, A.P., Sawa, K., Leising, K.J., & Waldmann, M.R. (2006). Causal reasoning in rats. Science, 311, 1020-1022.
3. Buehner, M., & Cheng, P. (2005). Causal learning. In K.J. Holyoak & B. Morrison (Eds.), The Cambridge handbook of thinking and reasoning (pp. 143-168). Cambridge, England: Cambridge University Press.
4. Fenker, D.B., Waldmann, M.R., & Holyoak, K.J. (2005). Accessing causal relations in semantic memory. Memory & Cognition, 33, 1036-1046.
5. 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.
6. Lagnado, D.A., Waldmann, M.R., Hagmayer, Y., & Sloman, S.A. (in press). Beyond covariation: Cues to causal structure. In A. Gopnik & L. Schulz (Eds.), Causal learning: Psychology, philosophy, and computation. Oxford, England: Oxford University Press.
7. Reips, U.-D., & Waldmann, M.R. (in press). When learning order affects sensitivity to base rates: Challenges for theories of causal learning. Experimental Psychology.
8. Satpute, A.J., Fenker, D.,Waldmann, M.R., Tabibnia, G., Holyoak, K.J., & Lieberman, M. (2005). An fMRI study of causal judgments. European Journal of Neuroscience, 22, 1233-1238.
9. Waldmann, M.R. (1996). Knowledge-based causal induction. In D. Shanks, K. Holyoak, & D. Medin (Eds.), The psychology of learning and motivation, Vol. 34: Causal learning (pp. 47-88). San Diego, CA: Academic Press.
10. Waldmann, M.R. (2000). Competition among causes but not effects in predictive and diagnostic learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 26, 53-76.
11. Waldmann, M.R. (2001). Predictive versus diagnostic causal learning: Evidence from an overshadowing paradigm. Psychological Bulletin & Review, 8, 600-608.
12. Waldmann, M.R. (in press). Combining versus analyzing multiple causes: How domain assumptions and task context affect integration rules. Cognitive Science.
13. Waldmann, M.R., & Hagmayer, Y. (2001). Estimating causal strength: The role of structural knowledge and processing effort. Cognition, 82, 27-58.
14. Waldmann, M.R., & Hagmayer, Y. (2005). Seeing vs. doing: Two modes of accessing causal knowledge. Journal of Experimental Psychology: Learning, Memory, and Cognition, 31, 216-227.
15. 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.
16. Waldmann, M.R., & Walker, J.M. (2005). Competence and performance in causal learning. Learning & Behavior, 33, 211-229.