Abstract
Artificial Immune Systems (AIS) research into clonal selection and immune network models has tended to use a single, real-valued or binary vector to represent both the paratope and epitope of a B-cell; in this paper, the use of alternative representations is discussed. A theoretical generic immune network (GIN) is presented, that can be used to explore the network dynamics of several families of different B-cell representations at the same time, and that combines features of clonal selection and immune networks in a single model.
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Garrett, S.M. (2003). A Paratope Is Not an Epitope: Implications for Immune Network Models and Clonal Selection. 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_21
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DOI: https://doi.org/10.1007/978-3-540-45192-1_21
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