Two ways to grow tissue for artificial immune systems

Authors:
Peter J. Bentley;Julie Greensmith;Supiya Ujjin
Affiliations:
Department of Computer Science, University College London, London, UK;School of Computer Science (ASAP), University of Nottingham, UK;Computing Research and Development Division, National Electronics and Computer Technology Center, Thailand
Venue:
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
Year:
2005

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Abstract

An immune system without tissue is like evolution without genes. Something very important is missing. Here we present the novel concept of tissue for artificial immune systems. Much like the genetic representation of genetic algorithms, tissue provides an interface between problem and immune algorithm. Two tissue-growing algorithms are presented with experimental results illustrating their abilities to dynamically cluster data and provide useful signals. The use of tissue to provide an innate immune response driving the adaptive response of conventional immune algorithms is then discussed.