Bentley, P.J. and Timmis, Jon (2004) A Fractal Immune Network. In: Nicosia, G., ed. Artificial Immune Systems. LNCS, 3239 (3239). Springer pp. 133-145. ISBN 3540230971.
Proteins are the driving force in development (embryogenesis) and the immune system. Here we describe how a model of proteins designed for evolutionary development in computers can be combined with a model of immune systems. Full details of a prototype system are provided, and preliminary experiments presented. Results show that evolution is able to adjust the mapping between input data and antigens and cause useful changes to the subnetworks formed by the immune algorithm.
|Item Type:||Conference or workshop item (Paper)|
|Uncontrolled keywords:||artificial immune systems|
|Subjects:||Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,|
|Divisions:||Faculties > Science Technology and Medical Studies > School of Computing > Applied and Interdisciplinary Informatics Group|
|Depositing User:||Mark Wheadon|
|Date Deposited:||24 Nov 2008 18:01|
|Last Modified:||08 May 2012 13:00|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/14103 (The current URI for this page, for reference purposes)|
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