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All Outputs (7)

Exploiting Collaborations in the Immune System: The Future of Artificial Immune Systems (2009)
Book Chapter
Hart, E., McEwan, C., & Davoudani, D. (2009). Exploiting Collaborations in the Immune System: The Future of Artificial Immune Systems. In C. Mumford, & L. Jain (Eds.), Intelligent Systems Reference Library; Computational Intelligence (527-558). Springer-Verlag. https://doi.org/10.1007/978-3-642-01799-5_16

Despite a steady increase in the application of algorithms inspired by the natural immune system to a variety of domains over the previous decade, we argue that the field of Artificial Immune Systems has yet to achieve its full potential. We suggest... Read More about Exploiting Collaborations in the Immune System: The Future of Artificial Immune Systems.

On AIRS and clonal selection for machine learning (2009)
Conference Proceeding
McEwan, C., & Hart, E. (2009). On AIRS and clonal selection for machine learning. In Artificial Immune Systems (67-79). https://doi.org/10.1007/978-3-642-03246-2_11

Many recent advances have been made in understanding the functional implications of the global topological properties of biological networks through the application of complex network theory, particularly in the area of small-world and scale-free top... Read More about On AIRS and clonal selection for machine learning.

Dendritic cell trafficking: from Immunology to Engineering. (2009)
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 operate in environments with constraints similar to those faced by the immune s... Read More about Dendritic cell trafficking: from Immunology to Engineering..

Structure versus function: a topological perspective on immune networks (2009)
Journal Article
Hart, E., Bersini, H., & Santos, F. (2009). Structure versus function: a topological perspective on immune networks. Natural Computing, https://doi.org/10.1007/s11047-009-9138-8

Many recent advances have been made in understanding the functional implications of the global topological properties of biological networks through the application of complex network theory, particularly in the area of small-world and scale-free top... Read More about Structure versus function: a topological perspective on immune networks.

Representation in the (Artificial) Immune System (2009)
Journal Article
McEwan, C., & Hart, E. (2009). Representation in the (Artificial) Immune System. Journal of Mathematical Modelling and Algorithms, 8, 125-149. https://doi.org/10.1007/s10852-009-9104-6

Much of contemporary research in Artificial Immune Systems (AIS) has partitioned into either algorithmic machine learning and optimisation, or, modelling biologically plausible dynamical systems, with little overlap between. We propose that this dich... Read More about Representation in the (Artificial) Immune System.

Computing the State of Specknets: an immune-inspired approach. (2009)
Conference Proceeding
Davoudani, D., Hart, E., & Paechter, B. (2009). Computing the State of Specknets: an immune-inspired approach. In Performance Evaluation of Computer and Telecommunication Systems, 2008. SPECTS 2008. International Symposium on (52-59)

Speckled Computing is an emerging technology based on the deployment of thousands of minute semiconductor grains in dense, wireless networks known as Specknets. Specknets collect and process data to achieve some application dependent functionalit... Read More about Computing the State of Specknets: an immune-inspired approach..