Learning cascade in the immune system dynamics: A numerical simulation

Abstract

The idea of learning cascade (LC) is introduced to characterize the progressive evolution of the immune system (IS) response from low-affinity to high-affinity lymphocites. This was explored by means of extensive computer simulations. Results indicate that LC is a rather robust kinetic feature of the IS response and the entropy gain a meaningful evolutionary measure of the information stored in the learning process.