Applying Inhomogeneous Probabilistic Cellular Au-tomata Rules on Epidemic Model

Abstract

 This paper presents some of the results of our probabilis¬tic cellular automaton (PCA) based epidemic model. It is shown that PCA performs better than deterministic ones. We consider two possible ways of interaction that relies on a two-way split rules either horizontal or vertical interaction with 2 different probabilities causing more of the best possible choices for the behavior of the disease. Our results are a generalization of that Hawkins et al done.

Authors and Affiliations

Wesam M. Elsayed, Ahmed H. El-bassiouny, Elsayed F. Radwan

Keywords

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  • EP ID EP114843
  • DOI -
  • Views 114
  • Downloads 0

How To Cite

Wesam M. Elsayed, Ahmed H. El-bassiouny, Elsayed F. Radwan (2013).  Applying Inhomogeneous Probabilistic Cellular Au-tomata Rules on Epidemic Model. International Journal of Advanced Research in Artificial Intelligence(IJARAI), 2(4), 39-47. https://europub.co.uk./articles/-A-114843