Hostname: page-component-586b7cd67f-t8hqh Total loading time: 0 Render date: 2024-11-22T11:41:15.695Z Has data issue: false hasContentIssue false

Mental time travel sickness and a Bayesian remedy

Published online by Cambridge University Press:  29 October 2007

Jay Hegdé
Affiliation:
Department of Psychology, University of Minnesota, Minneapolis, MN 55455. [email protected]://www.hegde.us

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
Copyright
Copyright © Cambridge University Press 2007

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

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