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.

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}
}