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.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Batagelj, V., Bren, M.: Comparing resemblance measures. Journal of Classification 12(1), 7–90 (1995)
Bersini, H.: Revisiting idiotypic immune networks. In: Banzhaf, W., Ziegler, J., Christaller, T., Dittrich, P., Kim, J.T. (eds.) ECAL 2003. LNCS, vol. 2801, pp. 164–174. Springer, Heidelberg (2003)
de Castro, L.N., Timmis, J.: Artificial Immune Systems: A New Computational Approach. Springer, London (2002)
Galeano, J.C., Veloza-Suan, A., González, F.A.: A comparative analysis of artificial immune network models. In: Beyer, H.-G., O’Reilly, U.-M. (eds.) Genetic and Evolutionary Computation Conference, GECCO 2005, Proceedings, Washington DC, USA, June 25-29, 2005, pp. 361–368. ACM Press, New York (2005)
Hunt, J.E., Cooke, D.E.: Learning using an artificial immune system. Journal of Network and Computer Applications 19, 189–212 (1996)
Jerne, N.K.: Towards a network theory of the immune system. Ann. Immunol (Inst. Pasteur) 125(C), 373–389 (1974)
Nadler, M., Smith, E.P.: Pattern Recognition Engineering. John Wiley and Sons, New York (1993)
Trojanowski, K., Grzegorzewski, M.: A look inside the artificial immune algorithm inspired by clonal selection principle. Kłopotek, M., Tchórzewski, J. (eds.) Artificial Intelligence Studies; Special Issue, 2(25) (2005)
Tubbs, J.D.: A note on binary template matching. Pattern Recognition 22(4), 359–365 (1989)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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
eBook Packages: Computer ScienceComputer Science (R0)