Towards a Principled Design of Bio-inspired Solutions to Adaptive Information Filtering

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 are...

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Bibliographic Details
Main Authors: Azmi, N F M, Timmis, J, Polack, F
Format: Conference Proceeding
Language:English
Subjects:
Adaptive Information Filtering
Adaptive systems
Artificial Immune System
Complex System
CoSMoS Special Session
Electronic mail
Heuristic algorithms
Immune system
Information filtering
Pathogens
Probes
Online Access:Request full text
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Summary: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.
DOI:10.1109/ICECCS.2010.62