Towards danger theory based artificial APC model: novel metaphor for danger susceptible data codons

Abstract

Danger Theory (DT) sets significant shift in viewpoint about the main goal of human immune system (HIS). This viewpoint, though controversial among immunologists, may enable artificial immune systems (AIS) researchers to extract benefits of the theory for designing their systems and solving problems confronting with the conventional approach of self-nonself discrimination. Furthering recent pioneering concepts in the field, this paper aims to gain a distinct look for the data that DT based AIS processes. The proposed concept introduces a novel biological metaphor, DASTON, for observing danger susceptible data chunks/points combinations. Preliminary analysis for DASTON identification gives hope for exciting future of the idea. It is an initial effort towards Artificial Antigen Presenting Cell (AAPC) modeling. The concept may initiate an argument that might contribute significantly for the body of knowledge in AIS research.