1 citations · 1 across the 6 of their papers we have counts for
6 papers
The Transfer of Evolved Artificial Immune System Behaviours between Small and Large Scale Robotic Platforms
Amanda Whitbrook, Uwe Aickelin, Jonathan M. Garibaldi
This paper demonstrates that a set of behaviours evolved in simulation on a miniature robot (epuck) can be transferred to a much larger scale platform (a virtual Pioneer P3-DX) tha…
Artificial Immune Systems (2010)
Julie Greensmith, Amanda Whitbrook, Uwe Aickelin
The human immune system has numerous properties that make it ripe for exploitation in the computational domain, such as robustness and fault tolerance, and many different algorithm…
Detecting Anomalous Process Behaviour using Second Generation Artificial Immune Systems
Jamie Twycross, Uwe Aickelin, Amanda Whitbrook
Artificial Immune Systems have been successfully applied to a number of problem domains including fault tolerance and data mining, but have been shown to scale poorly when applied…
Two-Timescale Learning Using Idiotypic Behaviour Mediation For A Navigating Mobile Robot
Amanda Whitbrook, Uwe Aickelin, Jonathan M. Garibaldi
A combined Short-Term Learning (STL) and Long-Term Learning (LTL) approach to solving mobile-robot navigation problems is presented and tested in both the real and virtual domains.…
System Dynamics Modelling of the Processes Involving the Maintenance of the Naive T Cell Repertoire
Grazziela P. Figueredo, Uwe Aickelin, Amanda Whitbrook
The study of immune system aging, i.e. immunosenescence, is a relatively new research topic. It deals with understanding the processes of immunodegradation that indicate signs of f…
Mimicking the Behaviour of Idiotypic AIS Robot Controllers Using Probabilistic Systems
Amanda Whitbrook, Uwe Aickelin, Jonathan Garibaldi
Previous work has shown that robot navigation systems that employ an architecture based upon the idiotypic network theory of the immune system have an advantage over control techni…