Title :
Towards a Principled Design of Bio-inspired Solutions to Adaptive Information Filtering
Author :
Azmi, Nurulhuda Firdaus Mohd ; Timmis, Jon ; Polack, Fiona
Author_Institution :
Dept. of Comput. Sci., Univ. of York, York, UK
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.
Keywords :
information filtering; adaptive information filtering; bio-inspired solution; diversity probe; interaction probe; mammalian immune system; openness probe; scale probe; structure probe; Adaptive systems; Electronic mail; Heuristic algorithms; Immune system; Information filtering; Pathogens; Probes; Adaptive Information Filtering; Artificial Immune System; CoSMoS Special Session; Complex System;
Conference_Titel :
Engineering of Complex Computer Systems (ICECCS), 2010 15th IEEE International Conference on
Conference_Location :
Oxford
Print_ISBN :
978-1-4244-6638-2
Electronic_ISBN :
978-1-4244-6639-9
DOI :
10.1109/ICECCS.2010.62
