Research On Visual Computing Model Of Immune System

Biological immune systems are complex and intelligent systems which possess the property of self-organizing and adaptive. In recent years, with the considerable progress in medicine and physiology, some features of immune system have caused widespread concern in various research areas. They hope to study the mechanism of immune system for inspiration and enlightenment, and then establish a new information processing system-Artificial Immune System (AIS) through the simulation of immune system mechanism. At present, researchers have solved many problems, especially in the field of engineering, through imitating the intelligence revealed by biological immune system. For example, the artificial immune network, which established according to the features of biological immune system, provides a novel and effective approach for intelligent control. Therefore, the studying of immune system mechanisms is of great significance for the field of medical and artificial immune system.In order to make the researchers from different fields to have a better understanding of the mechanism of immune system easily and effectively, it is necessary to establish an easily understood model of immune system. The thesis is also designed based on this demand.Firstly, the thesis introduces the associated biological basis of immune system, including the composition, structure, function, features of immune system. Besides, the mechanism of immune response is also presented in this thesis. Therefore, it provides a theoretical basis for immune system modeling.Secondly, the thesis points out the importance of the establishment of immune system model through describing and analyzing the relations between theoretical immunology and artificial immunology. Then various methods of traditional immune system modeling and their own the advantages and disadvantages are discussed in detail. Visual tri-tier computational model of immune system is proposed according to the requirements of ideal model.Thirdly, a brief introduction is given to the platform of multi-agent modeling-NetLogo. Cellular immunity which is the typical immune mechanism is visually modeled using this platform, and two methods can be used to access the model:C/S and B/S.Finally, the thesis discusses the most commonly used Java Virtual Machine, and chooses chose Kaffe by comparing and considering the actual situation of this project. Next, a new B/S method that can access the immune system model in embedded browser is realized by transplanting Kaffe to ARM platform.