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Eating Data Is Good for Your Immune System: An Artificial Metabolism for Data Clustering Using Systemic Computation

  • Erwan Le Martelot
  • Peter J. Bentley
  • R. Beau Lotto
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5132)

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.

Keywords

Food System Data Item Danger Signal Systemic Computation Adhesion Surface 
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 2008

Authors and Affiliations

  • Erwan Le Martelot
    • 1
    • 3
  • Peter J. Bentley
    • 2
  • R. Beau Lotto
    • 3
  1. 1.Engineering DepartmentUniversity College LondonLondonUK
  2. 2.Computer Science DepartmentUniversity College LondonLondonUK
  3. 3.Institute of OphthalmologyUniversity College LondonLondonUK

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