Kausales Denken, Bayes-Netze und die Markov-Bedingung

157
Glymour, C. (2001). The mind's arrows: Bayes nets and graphical causal models in
psychology. Cambridge, MA: MIT Press.
Glymour, C. (2003). Learning, prediction and causal Bayes nets. Trends in Cognitive
Science, 7, 43–48.
Glymour, C. (2007). Learning the structure of deterministic systems. In A. Gopnik
& L. Schulz (Eds.), Causal learning: Psychology, philosophy, and computation
(S. 231–240). Oxford: Oxford University Press.
Goedert, K. M. & Spellman, B. A. (2005). Nonnormative discounting: There is
more to cue interaction effects than controlling for alternative causes.
Learning & Behavior, 33 (2), 197–210.
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.
Gopnik, A., Sobel, D. M., Schulz, L. E. & Glymour, C. (2001). Causal learning mechanisms
in very young children: Two-, three-, and four-year-olds infer
causal relations from patterns of variation and covariation. Developmental
Psychology, 37 (5), 620–629.
Griffiths, T. L., Kemp, C., and Tenenbaum, J. B. (2008). Bayesian models of cognition.
In R. Sun (Ed.), The Cambridge handbook of computational cognitive
modeling. Cambridge, UK: Cambridge University Press.
Griffiths, T. L., Steyvers, M. & Tenenbaum, J. B. (2007). Topics in semantic representation.
Psychological Review, 114, 211–244.
Griffiths, T. L. & Tenenbaum, J. B. (2005). Structure and strength in causal induction.
Cognitive Psychology, 51, 354–384.
Griffiths, T. L. & Tenenbaum, J. B. (2007a). From mere coincidences to meaningful
discoveries. Cognition, 103, 180–226.
Griffiths, T. L. & Tenenbaum, J. B. (2007b). Two proposals for causal grammars. In
A. Gopnik & L. Schulz (Eds.), Causal learning: Psychology, philosophy, and
computation (S. 323–345). Oxford: Oxford University Press.
Griffiths, T. L. & Yuille, A. (2008). A primer on probabilistic inference. In N. Chater
& M. Oaksford (Eds.), The probabilistic mind: Prospects for Bayesian cognitive
science (S. 33–57). New York: Oxford University Press.