Title :
Definition of Danger Signal in Artificial Immune System with Cloud Method
Author :
Yang, He ; Liang, Yi-wen ; Chen, Jia
Author_Institution :
Sch. of Comput. Sci., Wuhan Univ., Wuhan
Abstract :
The definition of danger is one of the most important problems need to be solved in the application of danger theory in artificial immune system. Cloud model is an effective tool in transforming between qualitative concepts and their quantitative expressions. This paper uses the concept of cloud model to abstract the character of parameters of computer system, and consequently present the definition of danger signal. Integrate various danger signals the definition of danger is got. At last, a cooperating stimulate model including both self-nonself recognition method and danger recognition method is presented.
Keywords :
artificial immune systems; artificial immune system; cloud method; danger signal; qualitative concepts; self-nonself recognition method; Application software; Artificial immune systems; Cloud computing; Computer science; Computer science education; Helium; Immune system; Laboratories; Software engineering; Uncertainty; Artificial Immunology; Cloud Model; Danger Theory;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.711