DocumentCode
2959322
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
fYear
2010
fDate
22-26 March 2010
Firstpage
315
Lastpage
316
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICECCS.2010.62
Filename
5628593
Link To Document