Abstract
The idiotypic network has a long and chequered history in both theoretical immunology and Artificial Immune Systems. In terms of the latter, the drive for engineering applications has led to a diluted interpretation of the immunological models. Research inspired by theoretical immunology has produced compelling models of self-organised tolerance and immunity, but currently fail to have any practical engineering applicability. In this paper, we briefly discuss the engineering applicability of “self-affirming” idiotypic networks, leading to a suggestion that the “Third Generation” network models represent a way forward in this respect. Results obtained by implementing and extending a discrete model of this type of network suggest that the extended prototype is capable of two context-dependent modes of immune response, readily applicable to unsupervised machine-learning.
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McEwan, C., Hart, E., Paechter, B. (2007). Revisiting the Central and Peripheral Immune System. In: de Castro, L.N., Von Zuben, F.J., Knidel, H. (eds) Artificial Immune Systems. ICARIS 2007. Lecture Notes in Computer Science, vol 4628. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73922-7_21
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DOI: https://doi.org/10.1007/978-3-540-73922-7_21
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