Hostname: page-component-7c8c6479df-995ml Total loading time: 0 Render date: 2024-03-27T12:59:24.055Z Has data issue: false hasContentIssue false

Bayes plus environment

Published online by Cambridge University Press:  12 February 2009

Craig R. M. McKenzie
Affiliation:
Rady School of Management and Department of Psychology, University of California, San Diego, La Jolla, CA 92093-0553. cmckenzie@ucsd.eduhttp://psy.ucsd.edu/~mckenzie/

Abstract

Oaksford & Chater's (O&C's) account of deductive reasoning is parsimonious at a local level (because a rational model is used to explain a wide range of behavior) and at a global level (because their Bayesian approach connects to other areas of research). Their emphasis on environmental structure is especially important, and the power of their approach is seen at both the computational and algorithmic levels.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2009

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Anderson, J. R. (1990) The adaptive character of thought. Erlbaum.Google Scholar
Gigerenzer, G. (1996) On narrow norms and vague heuristics: A reply to Kahneman and Tversky. Psychological Review 103:592–96.Google Scholar
Gilovich, T., Griffin, D. & Kahneman, D. (2002) Heuristics and biases: The psychology of intuitive judgement. Cambridge University Press.Google Scholar
Kahneman, D., Slovic, P. & Tversky, A., eds. (1982) Judgment under uncertainty: Heuristics and biases. Cambridge University Press.Google Scholar
Kahneman, D. & Tversky, A. (2000) Choices, values, and frames. Cambridge University Press.Google Scholar
Krueger, J. I. & Funder, D. C. (2004) Towards a balanced social psychology: Causes, consequences, and cures for the problem-seeking approach to social behavior and cognition. Behavioral and Brain Sciences 27(3):313–76.Google Scholar
Marr, D. (1982) Vision: A computational investigation into the human representation and processing of visual information. Freeman.Google Scholar
McKenzie, C. R. M. (2004) Framing effects in inference tasks – and why they are normatively defensible. Memory and Cognition 32:874–85.Google Scholar
McKenzie, C. R. M. & Amin, M. B. (2002) When wrong predictions provide more support than right ones. Psychonomic Bulletin and Review 9:821–28.Google Scholar
McKenzie, C. R. M., Ferreira, V. S., Mikkelsen, L. A., McDermott, K. J. & Skrable, R. P. (2001) Do conditional statements target rare events? Organizational Behavior and Human Decision Processes 85:291309.Google Scholar
McKenzie, C. R. M. & Mikkelsen, L. A. (2000) The psychological side of Hempel's paradox of confirmation. Psychonomic Bulletin and Review 7:360–66.CrossRefGoogle ScholarPubMed
McKenzie, C. R. M. & Mikkelsen, L. A. (2007) A Bayesian view of covariation assessment. Cognitive Psychology 54:3361.Google Scholar
McKenzie, C. R. M. & Nelson, J. D. (2003) What a speaker's choice of frame reveals: Reference points, frame selection, and framing effects. Psychonomic Bulletin and Review 10:596602.Google Scholar
Oaksford, M. & Chater, N. (2007) Bayesian rationality: The probabilistic approach to human reasoning. Oxford University Press.CrossRefGoogle Scholar
Sher, S. & McKenzie, C. R. M. (2006) Information leakage from logically equivalent frames. Cognition 101:467–94.Google Scholar
Sher, S. & McKenzie, C. R. M. (2008) Framing effects and rationality. In: The probabilistic mind: Prospects for Bayesian cognitive science, ed. Chater, N. & Oaksford, M., pp. 7996. Oxford University Press.Google Scholar