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Mental time travel sickness and a Bayesian remedy

Published online by Cambridge University Press:  29 October 2007

Jay Hegdé
Jay Hegdé
Affiliation:
Department of Psychology, University of Minnesota, Minneapolis, MN 55455. hegde@umn.eduhttp://www.hegde.us
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Abstract

Mental time travel is a principled, but a narrow and computationally limiting, implementation of foresight. Future events can be predicted with sufficient specificity without having to have episodic memory of specific past events. Bayesian estimation theory provides a framework by which one can make predictions about specific future events by combining information about various generic patterns in the past experience.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 30 , Issue 3 , June 2007 , pp. 323 - 324
Copyright
Copyright © Cambridge University Press 2007

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References

Davidson, P. R. & Wolpert, D. M. (2005) Widespread access to predictive models in the motor system: A short review. Journal of Neural Engineering 2:S313–19.CrossRefGoogle ScholarPubMed
Glymour, C. (2002) The mind's arrows: Bayes nets and graphical causal models. MIT Press.Google Scholar
Krauth, J. (1983) Methods and problems of prediction. Neuropsychobiology 9:147–53.CrossRefGoogle ScholarPubMed