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

Authors:
Erwan Martelot;Peter J. Bentley;R. Beau Lotto
Affiliations:
Engineering Department, University College London, London, UK and Institute of Ophthalmology, University College London, London, UK;Computer Science Department, University College London, London, UK;Institute of Ophthalmology, University College London, London, UK
Venue:
ICARIS '08 Proceedings of the 7th international conference on Artificial Immune Systems
Year:
2008

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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.