Learning using an artificial immune system
Journal of Network and Computer Applications - Special issue on intelligent systems: design and applications. Part 2
Principles of a computer immune system
NSPW '97 Proceedings of the 1997 workshop on New security paradigms
The Evolution of Emergent Organization in Immune System Gene Libraries
Proceedings of the 6th International Conference on Genetic Algorithms
AntNet: distributed stigmergetic control for communications networks
Journal of Artificial Intelligence Research
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In this report the immune system and its adaptive properties are described and a simple artificial immune system (AIS) model based on the clonal selection theory is presented. This immune system model is demonstrated to be capable of learning the structure of novel antigens, of memory for previously encountered antigens, and of being able to use its memory to respond more efficiently to antigens related to ones it has previously seen (cross-reactivity). The learning, memory and cross-reactivity of the AIS are fruitfully applied to the problem of fuzzy resource identification. Interesting antigen/antibody relationships are also identified.