Accurate immunological models offer the possibility of performing highthroughput experiments in silico that can predict, or at least suggest, in vivo phenomena. In this chapter, we compare various models of immunological memory. We first validate an experimental immunological simulator, developed by the authors, by simulating several theories of immunological memory with known results. We then use the same system to evaluate the predicted effects of a theory of immunological memory. The resulting model has not been explored before in artificial immune systems research, and we compare the simulated in silico output with in vivo measurements. Although the theory appears valid, we suggest that there are a common set of reasons why immunological memory models are a useful support tool; not conclusive in themselves.
@article{arxiv.1004.3932,
title = {Modelling Immunological Memory},
author = {Simon Garret and Martin Robbins and Joanne Walker and William Wilson and Uwe Aickelin},
journal= {arXiv preprint arXiv:1004.3932},
year = {2010}
}