Artificial immune systems for data fusion: A novel biologically inspired approach

Adam Knowles*, Rogério De Lemos, Jon Timmis, Simon Forrest, Heather McCracken

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

2 Citations (SciVal)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 11th International Conference on Information Fusion, FUSION 2008
Publication statusPublished - 2008
Event11th International Conference on Information Fusion, FUSION 2008 - Cologne, Germany
Duration: 30 Jun 200803 Jul 2008

Publication series

NameProceedings of the 11th International Conference on Information Fusion, FUSION 2008

Conference

Conference11th International Conference on Information Fusion, FUSION 2008
Country/TerritoryGermany
CityCologne
Period30 Jun 200803 Jul 2008

Keywords

  • Artificial immune systems (AIS)
  • Biologically inspired fusion
  • Data fusion processes

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