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A Decision-Theoretic Treatment of Imprecise Computation

  • John Yen
  • Swaminathan Natarajan
Chapter
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 318)

Abstract

Imprecise computation has been suggested as a promising model of real-time computing in order to deal with timing constraints imposed by the environment. However, the theoretical foundation of the technique has not been fully explored. To address this, we propose a decision-theoretic foundation of imprecise computation. The main benefit of such a treatment is that it enables the qualitative assumptions underlying imprecise computation techniques to be explicitly stated in a formal way. The theoretical foundation laid out in this paper, hence, will not only enable the justification of using imprecise computation techniques for a real-time application, but will also facilitate the development of extended techniques for more complex real-time systems.

Keywords

Resource Allocation Resource Constraint Decision Theory Expected Utility Resource Requirement 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Kluwer Academic Publishers 1995

Authors and Affiliations

  • John Yen
    • 1
  • Swaminathan Natarajan
    • 2
  1. 1.Department of Computer ScienceTexas A&M UniversityCollege StationUSA
  2. 2.Xerox CorporationHenriettaUSA

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