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An Influence of Random Number Generation Function to Multiagent Systems

  • Dominik Vymětal
  • Marek Spišák
  • Roman Šperka
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7327)

Abstract

The paper deals with modeling and simulation of business processes. A multiagent system was implemented as a tool to manage the simulation. Multiagent systems often operate with random (respectively pseudorandom) generated parameters in order to represent unpredictable phenomena. The aiml of the paper is to show the influence of different random number generation functions to the real multiagent system outputs. It is obvious, that outputs of the multiagent system simulation differs from turn to turn, but the motivation was to find, if the differences are significant. An accurate number of agents with the same parameters were used for each case, with different kinds of randomness while generating agent’s internal state attributes. The results obtained show that using inappropriate random number generation function leads to significant output data distortion, so the generation function selection must be done very carefully.

Keywords

random pseudorandom generation function multiagent simulation modeling business process 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Dominik Vymětal
    • 1
  • Marek Spišák
    • 1
  • Roman Šperka
    • 1
  1. 1.School of Business Administration in Karviná, Department of InformaticsSilesian University in OpavaKarvináCzech Republic

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