Applying Inhomogeneous Probabilistic Cellular Au-tomata Rules on Epidemic Model
Journal Title: International Journal of Advanced Research in Artificial Intelligence(IJARAI) - Year 2013, Vol 2, Issue 4
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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