Abstract
In this paper we introduce a method of using a pair of complementary negative detectors. When both self and non-self antigens are given, we can build a pair of complementary negative detectors using self and non-self antigens respectively and augment the results given by the detectors. When self or non-self antigens change over time, antibodies of a negative detector that gives a false positive error for the change, are used to fill the holes of the other negative detector giving a false negative error. They try to adapt to the change in complementary ways.
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Ceong, H.T., Kim, Yi., Lee, D., Lee, KH. (2003). Complementary Dual Detectors for Effective Classification. In: Timmis, J., Bentley, P.J., Hart, E. (eds) Artificial Immune Systems. ICARIS 2003. Lecture Notes in Computer Science, vol 2787. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45192-1_23
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DOI: https://doi.org/10.1007/978-3-540-45192-1_23
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