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.
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Hebbron, T., Noble, J., Bullock, S. (2011). All in the Same Boat: A “Situated” Model of Emergent Immune Response. In: Kampis, G., Karsai, I., Szathmáry, E. (eds) Advances in Artificial Life. Darwin Meets von Neumann. ECAL 2009. Lecture Notes in Computer Science(), vol 5777. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21283-3_44
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DOI: https://doi.org/10.1007/978-3-642-21283-3_44
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