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Statistical Information, Uncertainty, and Bayes’ Theorem: Some Applications in Experimental Psychology

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Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2143))

Abstract

This paper contains, first, a brief formal exploration of the relationships between information (statistically defined), statistical hypothesis testing, the channel capacity of a communication system, and uncertainty. Thereafter several applications of these ideas in experimental psychology are examined. The applications are grouped under “Mathematical theories that are not matched to the psychological task”, “The human observer treated as a physical system”, and “Bayes’ theorem”.

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Author information

Authors and Affiliations

  1. Department of Experimental Psychology, University of Cambridge, Downing Street, Cambridge, England, CB2 3EB

    Donald Laming

Authors
  1. Donald Laming
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Editor information

Editors and Affiliations

  1. Université Paul Sabatier, IRIT-CNRS, 118 route de Narbonne, 31062, Toulouse Cedex 4, France

    Salem Benferhat  & Philippe Besnard  & 

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© 2001 Springer-Verlag Berlin Heidelberg

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Laming, D. (2001). Statistical Information, Uncertainty, and Bayes’ Theorem: Some Applications in Experimental Psychology. In: Benferhat, S., Besnard, P. (eds) Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2001. Lecture Notes in Computer Science(), vol 2143. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44652-4_56

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  • DOI: https://doi.org/10.1007/3-540-44652-4_56

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42464-2

  • Online ISBN: 978-3-540-44652-1

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