The Idiotypic Network with Binary Patterns Matching

  • Krzysztof Trojanowski
  • Marcin Sasin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4163)


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.


Binary String Numerical Attribute Main Loop Shape Space Stable Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Krzysztof Trojanowski
    • 1
  • Marcin Sasin
    • 2
  1. 1.Institute of Computer SciencePolish Academy of SciencesWarsawPoland
  2. 2.Warsaw School of Information TechnologyWarsawPoland

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