Towards general information processing models of the acquired immune system

Previous works on the hierarchical acquired immune system framework have remarked at the strong similarity with regard to the information processing properties between the tissue and host algorithms. In particular the distinction between such algorithms may be considered ambiguous, specifically with regard to the minimal variation of algorithms at such scales in the framework. This work addresses this concern and in doing so identifies the potential for more commonality between the scales of the hierarchical framework. In addition to the minimal information processing properties between the tier, the additional commonalities are identified such as the interactions between principle components, and the triggered nature of adaptations. These identified common and abstracted information processing concerns are proposed as the first steps towards devising general (cross-tier) general information processing models inspired by the hierarchical framework.