Artificial Immune Systems for Data Fusion: A Novel Biologically Inspired Approach

Knowles, Adam and Timmis, Jon and de Lemos, Rogério and Forrest, Simon and McCracken, Heather (2008) Artificial Immune Systems for Data Fusion: A Novel Biologically Inspired Approach. In: 11th International Conference on Information Fusion (Fusion 2008), 30th June - 3rd July, 2008, Cologne, Germany. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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This paper considers the notion of the immune system as an information processing system for the purpose of data fusion. As the study of the brain inspired the development of neural networks, the immune system has inspired the development of a wide variety of algorithms. In this position paper, we argue how the various processes of molecular interaction and fusion in the biological immune system can produce analogous behavior for the fusing of data in an artificial context. We provide a mapping between several analogous immunological and artificial immune processes to illustrate this point, and discuss what an immune inspired data fusion system might look like.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: Artificial immune systems (AIS) , Data fusion processes , biologically inspired fusion
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Science Technology and Medical Studies > School of Computing
Depositing User: Rogerio de Lemos
Date Deposited: 05 Nov 2012 00:20
Last Modified: 17 Sep 2014 12:48
Resource URI: (The current URI for this page, for reference purposes)
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