Abstract
Immune systems provide a unique window on the evolution of individuality. Existing models of immune systems fail to consider them as situated within a biochemical context. We present a model that uses an NK landscape as an underlying metabolic substrate, represents organisms as having both internal and external structure, and provides a basis for studying the coevolution of pathogens and host immune responses. Early results from the model are discussed; we show that interaction between organisms drives a population to optima distinct from those found when adapting against an abiotic background. © 2011 Springer-Verlag.
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CITATION STYLE
Hebbron, T., Noble, J., & Bullock, S. (2011). All in the same boat: A “situated” model of emergent immune response. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5777 LNAI, pp. 353–360). https://doi.org/10.1007/978-3-642-21283-3_44
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