• DocumentCode
    3576847
  • Title

    An Intelligent Discrete Event Monte-Carlo Implementation Algorithm: Application to the Simulation of Indo-China Policy as a Bayesian Network

  • Author

    Joseph, Harry Raymond ; Mary, Arathi Sunder

  • Author_Institution
    Fak. Fur Elektrotechnik und Informationstechnik, Tech. Univ. Munchen, München, Germany
  • fYear
    2014
  • Firstpage
    54
  • Lastpage
    58
  • Abstract
    The use of Monte-Caro methods in the modeling and simulation community is fairly widespread. There exist several historical algorithms that efficiently accomplish the requirements. However when simulating discrete events, in scenarios where precision plays an important role, present algorithms could do considerably better. In this paper we develop a novel Monte-Carlo implementation based on prime numbers. This algorithm is tested against the popularly studied Indo-China relations.
  • Keywords
    Monte Carlo methods; belief networks; discrete event simulation; politics; Bayesian network; Indo-China policy simulation; intelligent discrete event Monte-Carlo implementation algorithm; prime numbers; Algorithm design and analysis; Bayes methods; Clustering algorithms; Computational modeling; Heuristic algorithms; Monte Carlo methods; Vectors; Bayesian Netwok; Indo-China Policy; Monte-Carlo methods; Simulation and modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Communication Systems and Networks (CICSyN), 2014 Sixth International Conference on
  • Print_ISBN
    978-1-4799-5075-1
  • Type

    conf

  • DOI
    10.1109/CICSyN.2014.25
  • Filename
    7059144