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A GRAPH-BASED MODEL FOR THE INFECTION PHENOMENON

Catalin Bulancea, Mitica Craus

Abstract


A graph-based model is proposed for studying interactions and evolution in infection process. There are defined and tested mutational and decisional structures for pathogen agents and a reaction mechanism for the host. MPI and C# implementations were used to make some simulations. The results have shown that artificial system evolution is closed to the evolution of the real system.

Keywords


Artificial life; multi-agent system; message passing; graph model; leucocytes

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References


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J. Holland, Adaptation in Natural and Artificial Systems, University of Michigan Press, 1975

D. Dumitrescu, Genetic Algorithms and Evolutive strategies, Microinformatica, Cluj-Napoca, 2002, p.53.


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