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Mimicking the behaviour of idiotypic AIS robot controllers using probabilistic systems (2009)
Presentation / Conference
Whitbrook, A., Whitbrook, A. M., Aickelin, U., & Garibaldi, J. M. (2009, July). Mimicking the behaviour of idiotypic AIS robot controllers using probabilistic systems. Paper presented at 13th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2009

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 techniques that rely on reinforcement learning only. This is thought to be a... Read More about Mimicking the behaviour of idiotypic AIS robot controllers using probabilistic systems.

Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm (2009)
Journal Article
Greensmith, J., Aickelin, U., & Tedesco, G. (2010). Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm. Information Fusion, 11(1), 21-34. https://doi.org/10.1016/j.inffus.2009.04.006

Dendritic cells are antigen presenting cells that provide a vital link between the innate and adaptive immune system, providing the initial detection of pathogenic invaders. Research into this family of cells has revealed that they perform informati... Read More about Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm.

An evolutionary squeaky wheel optimisation approach to personnel scheduling (2009)
Journal Article
Aickelin, U., Li, J., & Burke, E. (2009). An evolutionary squeaky wheel optimisation approach to personnel scheduling. IEEE Transactions on Evolutionary Computation, 13(2), https://doi.org/10.1109/TEVC.2008.2004262

The quest for robust heuristics that are able to solve more than one problem is ongoing. In this paper, we present, discuss and analyse a technique called Evolutionary Squeaky Wheel Optimisation and apply it to two different personnel scheduling prob... Read More about An evolutionary squeaky wheel optimisation approach to personnel scheduling.

Comparing simulation output accuracy of discrete event and agent based models: a quantitative approach (2009)
Journal Article
Abdul Majid, M., Aickelin, U., & Siebers, P. (2009). Comparing simulation output accuracy of discrete event and agent based models: a quantitative approach

In our research we investigate the output accuracy of discrete event simulation models and agent based simulation models when studying human centric complex systems. In this paper we focus on human reactive behaviour as it is possible in both mod... Read More about Comparing simulation output accuracy of discrete event and agent based models: a quantitative approach.

Investigating output accuracy for a discrete event simulation model and an agent based simulation model (2009)
Conference Proceeding
Abdul Majid, M., Aickelin, U., & Siebers, P. (2009). Investigating output accuracy for a discrete event simulation model and an agent based simulation model.

In this paper, we investigate output accuracy for a Discrete Event Simulation (DES) model and Agent Based Simulation (ABS) model. The purpose of this investigation is to find out which of these simulation techniques is the best one for modelling hum... Read More about Investigating output accuracy for a discrete event simulation model and an agent based simulation model.

Exploration of the dendritic cell algorithm with the duration calculus (2009)
Book Chapter
Gu, F., Greensmith, J., & Aickelin, U. (2009). Exploration of the dendritic cell algorithm with the duration calculus. In P. S. Andrews, J. Timmis, N. D. Owens, U. Aickelin, E. Hart, A. Hone, & A. M. Tyrrell (Eds.), Artificial immune systems: 8th international conference, ICARIS 2009, York, UK, August 9-12, 2009: proceedings. Springer

As one of the newest members in Articial Immune Systems (AIS), the Dendritic Cell Algorithm (DCA) has been applied to a range of problems. These applications mainly belong to the eld of anomaly detection. However, real-time detection, a new challeng... Read More about Exploration of the dendritic cell algorithm with the duration calculus.

Modelling and simulating retail management practices: a first approach (2009)
Journal Article
Siebers, P., Aickelin, U., Celia, H., & Clegg, C. (2009). Modelling and simulating retail management practices: a first approach. International Journal of Simulation and Process Modelling, 5(3), https://doi.org/10.1504/IJSPM.2009.031096

Multi-agent systems offer a new and exciting way of understanding the world of work. We apply agent-based modeling and simulation to investigate a set of problems in a retail context. Specifically, we are working to understand the relationship betwe... Read More about Modelling and simulating retail management practices: a first approach.

The use of probabilistic systems to mimic the behaviour of idiotypic AIS robot controllers (2009)
Journal Article
Whitbrook, A., Aickelin, U., & Garibaldi, J. M. (2009). The use of probabilistic systems to mimic the behaviour of idiotypic AIS robot controllers. Journal of Systemics, Cybernetics and Informatics, 7(6),

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 techniques that rely on reinforcement learning only. This is thought to b... Read More about The use of probabilistic systems to mimic the behaviour of idiotypic AIS robot controllers.

Parcellation of fMRI datasets with ICA and PLS: a data driven approach (2009)
Book Chapter
Ji, Y., Hervé, P., Aickelin, U., & Pitiot, A. (2009). Parcellation of fMRI datasets with ICA and PLS: a data driven approach. In G. Yang (Ed.), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009: 12th International Conference, London, UK, September 20-24, 2009: proceedings. Part 1. Springer

Inter-subject parcellation of functional Magnetic Resonance Imaging (fMRI) data based on a standard General Linear Model (GLM) and spectral clustering was recently proposed as a means to alleviate the issues associated with spatial normalization in... Read More about Parcellation of fMRI datasets with ICA and PLS: a data driven approach.