Contingency, causation, and adaptive inference.
暂无分享,去创建一个
[1] D. R. Lehman,et al. Integration of contingency information in judgments of cause, covariation, and probability. , 1998 .
[2] Nick Chater,et al. A rational analysis of the selection task as optimal data selection. , 1994 .
[3] Gerd Gigerenzer,et al. How to Improve Bayesian Reasoning Without Instruction: Frequency Formats , 1995 .
[4] John R. Anderson,et al. Causal inferences as perceptual judgments , 1995, Memory & cognition.
[5] John R. Anderson. The Adaptive Character of Thought , 1990 .
[6] G. Gigerenzer,et al. Overcoming difficulties in Bayesian reasoning: A reply to Lewis and Keren (1999) and Mellers and McGraw (1999). , 1999 .
[7] N. Chater,et al. Probabilistic effects in data selection , 1999 .
[8] D. W. Green,et al. Decision theoretic effects in testing a causal conditional , 2000 .
[9] J. Klayman,et al. Confirmation, Disconfirmation, and Informa-tion in Hypothesis Testing , 1987 .
[10] E. Wasserman,et al. Assessment of an information integration account of contingency judgment with examination of subjective cell importance and method of information presentation. , 1993 .
[11] P. Cheng,et al. Covariation in natural causal induction. , 1992 .
[12] N. Chater,et al. Rational models of cognition , 1998 .
[13] P. Cheng. From covariation to causation: A causal power theory. , 1997 .