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
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;
Conference_Titel :
Computational Intelligence, Communication Systems and Networks (CICSyN), 2014 Sixth International Conference on
Print_ISBN :
978-1-4799-5075-1
DOI :
10.1109/CICSyN.2014.25