• DocumentCode
    1152352
  • Title

    Compiling influence diagrams

  • Author

    Lehner, Paul E. ; Sadigh, Azar

  • Author_Institution
    Dept. of Syst. Eng., George Mason Univ., Fairfax, VA, USA
  • Volume
    26
  • Issue
    1
  • fYear
    1996
  • fDate
    1/1/1996 12:00:00 AM
  • Firstpage
    121
  • Lastpage
    125
  • Abstract
    This paper examines a class of algorithms for “compiling” influence diagrams into a set of simple decision rules. These decision rules define simple-to-execute, complete, consistent, and near-optimal decision procedures. These compilation algorithms can be used to derive decision procedures for manually solving time constrained decision problems
  • Keywords
    computational complexity; decision theory; inference mechanisms; trees (mathematics); compilation algorithms; influence diagrams; near-optimal decision procedures; simple decision rules; time constrained decision problems; Bayesian methods; Computer networks; Decision theory; Inference algorithms; Medical diagnosis; Medical tests; Probability distribution; Testing; Time factors; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4427
  • Type

    jour

  • DOI
    10.1109/3468.477866
  • Filename
    477866