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

摘要

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.