• DocumentCode
    672993
  • Title

    The Methods for Solving Influence Diagrams: A Review

  • Author

    Ming Yang ; Lihua Zhou ; Huifeng Ruan

  • Author_Institution
    Coll. of Yunnan Tranditional Medician, Kunming, China
  • fYear
    2013
  • fDate
    16-17 Nov. 2013
  • Firstpage
    427
  • Lastpage
    431
  • Abstract
    Influence diagrams (IDs) are one of the most commonly used graphical decision models for reasoning under uncertainty. Solving an ID means determining the optimal strategy for the decision maker and the value or certain equivalent of the decision situation when that optimal strategy is applied. Much research effort has been devoted to develop methods and algorithms for solving IDs, and a vast literature on this problem has been yielded. This paper attempts a brief exposition on the methods common used for solving IDs, for the purpose of providing a help for decision makers to select appropriate methods when they solve IDs.
  • Keywords
    decision making; directed graphs; uncertainty handling; ID; decision situation; graphical decision models; influence diagrams; optimal strategy; reasoning; uncertainty; Approximation algorithms; Artificial intelligence; Cognition; Educational institutions; Genetic algorithms; Inference algorithms; Uncertainty; Bayesian network; Decision making; Influence diagrams;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications (ITA), 2013 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4799-2876-7
  • Type

    conf

  • DOI
    10.1109/ITA.2013.104
  • Filename
    6710020