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DOI: 10.14569/IJARAI.2013.020407
PDF

Applying Inhomogeneous Probabilistic Cellular Au-tomata Rules on Epidemic Model

Author 1: Wesam M. Elsayed
Author 2: Ahmed H. El-bassiouny
Author 3: Elsayed F. Radwan

International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 2 Issue 4, 2013.

  • Abstract and Keywords
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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.

Keywords: Probabilistic Cellular Automata (PCA); Epidemic modeling; Optimization.

Wesam M. Elsayed, Ahmed H. El-bassiouny and Elsayed F. Radwan, “Applying Inhomogeneous Probabilistic Cellular Au-tomata Rules on Epidemic Model” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 2(4), 2013. http://dx.doi.org/10.14569/IJARAI.2013.020407

@article{Elsayed2013,
title = {Applying Inhomogeneous Probabilistic Cellular Au-tomata Rules on Epidemic Model},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2013.020407},
url = {http://dx.doi.org/10.14569/IJARAI.2013.020407},
year = {2013},
publisher = {The Science and Information Organization},
volume = {2},
number = {4},
author = {Wesam M. Elsayed and Ahmed H. El-bassiouny and Elsayed F. Radwan}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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