4 results

An engineering-Informed modelling approach to AIS.

Conference Proceeding
Hart, E., & Davoudani, D. (2011)
An engineering-Informed modelling approach to AIS. In Proceedings of International Conference on Artificial Immune Systems (ICARIS 2010), 240-253. https://doi.org/10.1007/978-3-642-22371-6_22
A recent shift in thinking in Artificial Immune Systems (AIS) advocates developing a greater understanding of the underlying biological systems that serve as inspiration for e...

Dendritic cell trafficking: from Immunology to Engineering.

Conference Proceeding
Hart, E., & Davoudani, D. (2009)
Dendritic cell trafficking: from Immunology to Engineering. In Artificial Immune Systems. , (11-13). https://doi.org/10.1007/978-3-642-03246-2_4
The field of Artificial Immune Systems (AIS) has derived inspiration from many different elements of the natural immune system in order to develop engineered systems that oper...

Computing the State of Specknets: further analysis of an innate immune-inspired model.

Conference Proceeding
Davoudani, D., Hart, E., & Paechter, B. (2008)
Computing the State of Specknets: further analysis of an innate immune-inspired model. In P. Bentley, D. Lee, & S. Jung (Eds.), Artificial Immune Systems, 7th International Conference, ICARIS 2008, Phuket, Thailand, August 2008, Proceedings, 95-106. https://doi.org/10.1007/978-3-540-85072-4
Specknets consist of hundreds of miniature devices, which are each capable of processing data and communicating wirelessly across short distances. Such networks, with their gr...

Immunological inspiration for building a new generation of autonomic systems.

Conference Proceeding
Hart, E., Davoudani, D., & McEwan, C. (2007)
Immunological inspiration for building a new generation of autonomic systems. In Autonomics '07 Proceedings of the 1st international conference on Autonomic computing and communication systems
Autonomic computing systems of the future will be required to exhibit a number of properties which cannot be engineered using current technologies and algorithms. The most dir...