Title :
Modeling and Simulation of Influenza with Biological Agent: A New Approch for Increasing System Robustness
Author :
Banirostam, Touraj ; Fesharaki, Mehdi N.
Author_Institution :
Dept. of Comput. Eng., Islamic Azad Univ., Tehran, Iran
Abstract :
Influenza is a pandemic disease which has the ability to mutation and adaptation with different conditions of environment. Through this approach, influenza has been able to overcome the Immune System (IS) and to kill thousands of people all around the world. A model based on the approach of influenza and according to the OODA (Observation-Orientation-Decision-Action) control loop has been introduced and presented in details. Also a model for the IS and the details of it have been represented. The proposed model has been simulated based on Biological Agent in Net logo environment. The effects of different rates of adaptation in influenza agents´ robustness have been evaluated and the results have been illustrated. Regarding to the results, designing and implementation of the systems with adaptation ability, would increase robustness of system with less computing cost.
Keywords :
biology computing; diseases; Net logo environment; OODA control loop; biological agent; immune system; influenza; observation-orientation-decision-action loop; pandemic disease; Adaptation models; Biological system modeling; Computational modeling; Immune system; Influenza; Robustness; Adaptation; Biological Agent; Influenza; Robustness;
Conference_Titel :
Modelling Symposium (AMS), 2011 Fifth Asia
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-0193-1
DOI :
10.1109/AMS.2011.14