Epistemic utility estimation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We apply an epistemological model of rational decision making developed by Isaac Levi to the estimation problem. The estimators thus developed are optimal with respect to an epistemic utility function that accounts for the cost of error, the decision agent's assessment of informational value, and the decision agent's specified willingness to risk errors in exchange for information acquisition; the estimators are inherently set-valued. We apply Levi's stable acceptance procedure to the estimation process, facilitating the use of unnormalized probability densities. As an example of the theory, we develop algorithms to apply an epistemic utility estimator to the output of a set-valued Kalman filter.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherPubl by Int Soc for Optical Engineering
Pages565-575
Number of pages11
ISBN (Print)0819409391
StatePublished - Dec 1 1992
EventNeural and Stochastic Methods in Image and Signal Processing - San Diego, CA, USA
Duration: Jul 20 1992Jul 23 1992

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume1766
ISSN (Print)0277-786X

Other

OtherNeural and Stochastic Methods in Image and Signal Processing
CitySan Diego, CA, USA
Period7/20/927/23/92

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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