Noisy Channel and Reaction-Diffusion Systems: Models for Artificial Immune Systems

In this conceptual paper we present two paradigms to model Immune Algorithms: Noisy Channel, and Reaction Diffusion System. We describe a general framework which can be readjusted and retuned according to the applications at hand. For instance, one can use more complicated immunological operators, different and intricate information processing phases. The underlying immune engine remains the same with greater or lesser performance and problem solving capability.