Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Properties of the bersini experiment on self-assertion
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Artificial immune systems---today and tomorrow
Natural Computing: an international journal
Application areas of AIS: The past, the present and the future
Applied Soft Computing
Computing the State of Specknets: Further Analysis of an Innate Immune-Inspired Model
ICARIS '08 Proceedings of the 7th international conference on Artificial Immune Systems
Information fusion for anomaly detection with the dendritic cell algorithm
Information Fusion
T Cell Receptor Signalling Inspired Kernel Density Estimation and Anomaly Detection
ICARIS '09 Proceedings of the 8th International Conference on Artificial Immune Systems
An Immuno-engineering Approach for Anomaly Detection in Swarm Robotics
ICARIS '09 Proceedings of the 8th International Conference on Artificial Immune Systems
Analysis of gradient-based routing protocols in sensor networks
DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
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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 engineering such systems by developing abstract computational models of the immune system in order to better understand the natural biology. We propose a refinement to existing frameworks which requires development of such models to be driven by the engineering problem being considered; the constraints of the engineered system must inform not only the model development, but also its validation. Using a case-study, we present a methodology which enables an abstract model of dendritic-cell trafficking to be developed with the purpose of building a self-organising wireless sensor network for temperature monitoring and maintenance. The methodology enables the development of a model which is consistent with the application constraints from the outset and can be validated in terms of the functional requirements of the application. Although the result models are not likely to be biologically faithful, they enable the engineer to better exploit the underlying metaphor, ultimately leading to reduced development time of the engineered system.