TY - GEN
T1 - Towards a principled design of bio-inspired solutions to adaptive information filtering
AU - Azmi, Nurulhuda Firdaus Mohd
AU - Timmis, Jon
AU - Polack, Fiona
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - Adaptive information filtering
KW - Artificial immune system
KW - Complex system
UR - http://www.scopus.com/inward/record.url?scp=79952024924&partnerID=8YFLogxK
U2 - 10.1109/ICECCS.2010.49
DO - 10.1109/ICECCS.2010.49
M3 - Conference Proceeding (Non-Journal item)
AN - SCOPUS:79952024924
SN - 9780769540153
T3 - Proceedings of the IEEE International Conference on Engineering of Complex Computer Systems, ICECCS
SP - 315
EP - 316
BT - Proceedings - 2010 15th IEEE International Conference on Engineering of Complex Computer Systems, ICECCS 2010
PB - IEEE Press
T2 - 15th IEEE International Conference on Engineering of Complex Computer Systems, ICECCS 2010
Y2 - 22 March 2010 through 26 March 2010
ER -