Abstract
Previous work suggests that innate immunity and representations of tissue can be useful when combined with artificial immune systems. Here we provide a new implementation of tissue for AIS using systemic computation, a new model of computation and corresponding computer architecture based on a systemics world-view and supplemented by the incorporation of natural characteristics. We show using systemic computation how to create an artificial organism, a program with metabolism that eats data, expels waste, clusters cells based on the nature of its food and emits danger signals suitable for an artificial immune system. The implementation is tested by application to a standard machine learning set and shows excellent abilities to recognise anomalies in its diet.
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Le Martelot, E., Bentley, P.J., Lotto, R.B. (2008). Eating Data Is Good for Your Immune System: An Artificial Metabolism for Data Clustering Using Systemic Computation. In: Bentley, P.J., Lee, D., Jung, S. (eds) Artificial Immune Systems. ICARIS 2008. Lecture Notes in Computer Science, vol 5132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85072-4_36
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DOI: https://doi.org/10.1007/978-3-540-85072-4_36
Publisher Name: Springer, Berlin, Heidelberg
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