Model Design
A Novel Model of Artificial Immune Network and Simulations on Its Dynamics
Lei Wang1
, Yinling Nie1
, Weike Nie2
and Licheng Jiao2 
| (1) |
School of Computer Science and Engineering, Xi’an University of Technology, 710048 Xi’an, China |
| (2) |
School of electronic engineering, Xidian University, 710071 Xi’an, China |
Abstract
A novel model of artificial immune network is presented at first, and then a simulative research work is made on its dynamic
behaviors. In this model, a B cell makes a key role that takes antigens in, so as to generate antibodies as its outputs. Under
five different kinds of adjustment by suppressor T cells, number of antibodies will keep to a certain degree through influencing
the B cell’s activation. On the other hand, with help T cells, different B cells could cooperate from each other, which makes
the system’s dynamic behavior appear more complex, such as phenomena of limit cycle, chaos, etc. Simulative results show that
limit cycle and chaos may exist simultaneously when four units are in connection, and the network’s characteristic has a close
relationship with the intensity of suppressor T cell’s function.
This research is supported by National Science Foundation of China under grant no60372045.