Friday 29th of March 2024
 

Multi agent Simulation: A Unified Framework for the analysis of viral infections within a bovine population


Dr. Tahar Guerram and Nour El Houda Dehimi

Multi-agent systems [1] is an approach which allows to study population dynamics from a qualitative point of view by defining the attributes and the behaviors for the interacting individuals of the system . So, multi agent systems allow the design and the implementation of the individual models proposed for the study of population dynamics which have major advantages compared to the aggregate models. The present paper presents a multi agent based framework for the simulation of the impact of viral infections on a population of cows which may be modern (only females) or mixed. This simulation creates an artificial life [2] [3] which will make it possible to the user to feel in a virtual laboratory and will facilitate to him the forecasts of the impact of viral infections on the evolution of the targeted population..

Keywords: multi agent systems, viral infection, modeling and simulation, population dynamics, artificial life.

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ABOUT THE AUTHORS

Dr. Tahar Guerram
Lecturer of computer science at the Departement of Mathematics and computer science, University of Oum El Bouaghi, Algeria

Nour El Houda Dehimi
Master degree Student at the departement of Mathematics and computer science of the university of Oum El Bouaghi


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