Abstract
A new specification of an immune network system is proposed. The model works on a set of antibodies from the binary shape-space and it is able to build a stable network and learn new patterns as well. A set of rules based on diversity of the repertoire of patterns which control relations of stimulation and suppression is proposed. The model is described and the results of simple experiments with the implementation of the model without and with presentation of antigens are presented.
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© 2006 Springer-Verlag Berlin Heidelberg
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Trojanowski, K., Sasin, M. (2006). The Idiotypic Network with Binary Patterns Matching. In: Bersini, H., Carneiro, J. (eds) Artificial Immune Systems. ICARIS 2006. Lecture Notes in Computer Science, vol 4163. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11823940_8
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DOI: https://doi.org/10.1007/11823940_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37749-8
Online ISBN: 978-3-540-37751-1
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