A novel artificial immune model based on error control

In this paper we will propose a novel artificial immune model based on error correcting code in the communication engineering. Here, both an antigen and an antibody are assumed to be binary digit strings, and an antigen is defined to correspond to the information bits and an antibody is to the check bits of a codeword in the error correcting code. For any antigen, its antibody is produced through generating check bits. But, unlike the coding theory in the communication engineering, in this paper, codewords to be able to correct error bits are produced by combinational method. In the primary stage antibodies are produced and pooled in the immune system. The clonal selection principle is computationally realized with finding check bits(Ab) specific to the information bits(Ag). At last it is shown that this system can be applied to the pattern recognition tasks and have the associative property.