Kausales Denken, Bayes-Netze und die Markov-Bedingung
Kausales Denken, Bayes-Netze und die Markov-Bedingung
Kausales Denken, Bayes-Netze und die Markov-Bedingung
Erfolgreiche ePaper selbst erstellen
Machen Sie aus Ihren PDF Publikationen ein blätterbares Flipbook mit unserer einzigartigen Google optimierten e-Paper Software.
160<br />
Leising, K. J., Wong, J., Waldmann, M. R. & Blaisdell, A. P. (2008). The special status<br />
of action in causal reasoning in rats. Journal of Experimental Psychology:<br />
General, 137 (3), 514–527.<br />
Lewis, C. & Keren, G. (1999). On the difficulties <strong>und</strong>erlying <strong>Bayes</strong>ian reasoning:<br />
Comment on Gigerenzer and Hoffrage. Psychological Review, 106, 411–<br />
416.<br />
Lien, Y. & Cheng, P. W. (2000). Distinguishing genuine from spurious causes: A<br />
coherence hypothesis. Cognitive Psychology, 40, 87–137.<br />
Liljeholm, M. & Cheng, P. W. (2007). When is a cause the “same”? Coherent generalizaition<br />
across contexts. Psychological Science, 18 (11), 1014–1021.<br />
Liljeholm, M. & Cheng, P.W. (in press). The influence of virtual sample size on<br />
confidence and causal strength judgments. Journal of Experimental Psychology:<br />
Learning, Memory, and Cognition.<br />
Lober, K. & Shanks, D. R. (2000). Is causal induction based on causal power? Critique<br />
of Cheng (1997). Psychological Review, 107 (1), 195–212.<br />
Lu, H., Yuille, A. L., Liljeholm, M., Cheng, P. W., & Holyoak, K. J. (2008). <strong>Bayes</strong>ian<br />
generic priors for causal learning. Psychological Review, 115, 955-982.<br />
Luhmann, C. C. (2005). Confo<strong>und</strong>ed: Causal inference and the requirement of<br />
independence. In B. G. Bara, L. Barsalou & M. Bucciarelli (Eds.), Proceedings<br />
of the Twenty-Seventh Annual Conference of the Cognitive Science<br />
Society (S. 1355–1360). Mahwah, NJ: Erlbaum.<br />
Luhmann, C. C. & Ahn, W.-K. (2005). The meaning and computation of causal<br />
power: Comment on Cheng (1997) and Novick and Cheng (2004). Psychological<br />
Review, 112 (3), 685–692.<br />
Marr, D. (1982). Vision: A computational investigation into the human representation<br />
and processing of visual information. San Francisco: Freeman.<br />
Mayrhofer, R., Goodman, N. D., Waldmann, M. R. & Tenenbaum, J. B. (2008).<br />
Structured correlations from the causal backgro<strong>und</strong>. In B. C. Love, K.<br />
McRae & V. M. Sloutsky (Eds.), Proceedings of the 30th Annual Conference<br />
of the Cognitive Science Society (S. 303–308). Austin, TX: Cognitive<br />
Science Society.