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Using Qualitative Description for the Dynamic Analysis of Virus Inflection

  • Hailin Feng
  • Chenxi Shao
  • Zicai Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4247)

Abstract

A method based on qualitative description is introduced to analyze the dynamic system of viral infection, and to predict the qualitative behaviors of the system by describing qualitative states and the transition between the states. The algorithm of building qualitative states is presented and then the qualitative states graph can be created from the dynamic model of viral infection. The reasoning algorithm is given to accomplish the transitions between the qualitative states. The qualitative trends of the state variables and their relative positions of the viral infection model are obtained, and then the corresponding transition graph of these qualitative states is gained. The qualitative simulation of the system is also given without precise formulation of the model.

Keywords

Qualitative Behavior Qualitative Description Transition Rule Transition Graph Transition Path 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Hailin Feng
    • 1
  • Chenxi Shao
    • 1
    • 2
  • Zicai Wang
    • 2
  1. 1.Computer Science Dept. of University of Science and Technology of ChinaHefeiChina
  2. 2.Haerbin Institute of TechnologySimulation CenterHaerbinChina

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