Towards a principled design of bio-inspired solutions to adaptive information filtering

Nurulhuda Firdaus Mohd Azmi, Jon Timmis, Fiona Polack

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

3 Citations (Scopus)

Abstract

When deriving bio-inspired algorithms, the probes of Openness, Diversity, Interaction, Structure and Scale (ODISS) can form the basis of a systematic analysis. In our work, we apply ODISS to both the biological inspiration (the mammalian immune system) and the application area, Adaptive Information Filtering (AIF). This approach allows a principled analysis and development of a complex bio-inspired approach to AIF.

Original languageEnglish
Title of host publicationProceedings - 2010 15th IEEE International Conference on Engineering of Complex Computer Systems, ICECCS 2010
PublisherIEEE Press
Pages315-316
Number of pages2
ISBN (Print)9780769540153
DOIs
Publication statusPublished - 2010
Event15th IEEE International Conference on Engineering of Complex Computer Systems, ICECCS 2010 - Oxford, United Kingdom of Great Britain and Northern Ireland
Duration: 22 Mar 201026 Mar 2010

Publication series

NameProceedings of the IEEE International Conference on Engineering of Complex Computer Systems, ICECCS

Conference

Conference15th IEEE International Conference on Engineering of Complex Computer Systems, ICECCS 2010
Country/TerritoryUnited Kingdom of Great Britain and Northern Ireland
CityOxford
Period22 Mar 201026 Mar 2010

Keywords

  • Adaptive information filtering
  • Artificial immune system
  • Complex system

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