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All Outputs (2001)

ToLeRating UR-STD
Presentation / Conference Contribution
Feyereisl, J., & Aickelin, U. ToLeRating UR-STD.

A new emerging paradigm of Uncertain Risk of Suspicion, Threat and Danger, observed across the field of information security, is described. Based on this paradigm a novel approach to anomaly detection is presented. Our approach is based on a simple y... Read More about ToLeRating UR-STD.

The DCA:SOMe comparison: a comparative study between two biologically-inspired algorithms
Journal Article
Greensmith, J., Feyereisl, J., & Aickelin, U. The DCA:SOMe comparison: a comparative study between two biologically-inspired algorithms. Evolutionary Intelligence, 1(2), https://doi.org/10.1007/s12065-008-0008-6

The dendritic cell algorithm (DCA) is an immune-inspired algorithm, developed for the purpose of anomaly detection. The algorithm performs multi-sensor data fusion and correlation which results in a ‘context aware’ detection system. Previous applicat... Read More about The DCA:SOMe comparison: a comparative study between two biologically-inspired algorithms.

Modelling and analysing human behaviour in a department store using discrete event and agent based simulation
Presentation / Conference Contribution
Majid, M. A., Aickelin, U., & Siebers, P. Modelling and analysing human behaviour in a department store using discrete event and agent based simulation. In Annual Operational Research Conference 50 (OR 50)

Discrete Event Simulation (DES) is a very popular simulation technique in Operational Research. Recently, there has been the emergence of another technique, namely Agent Based Simulation (ABS). Although there is a lot of literature relating to DES an... Read More about Modelling and analysing human behaviour in a department store using discrete event and agent based simulation.

Agent based simulation as a novel decision support tool for retail managers
Presentation / Conference Contribution
Siebers, P., Aickelin, U., Celia, H., & Clegg, C. Agent based simulation as a novel decision support tool for retail managers.

Intelligent agents offer a new and exciting way of understanding the world of work. We apply
agent-based simulation to investigate a set of problems in a retail context. Specifically, we are
working to understand the relationship between human reso... Read More about Agent based simulation as a novel decision support tool for retail managers.

An idiotypic immune network as a short-term learning architecture for mobile robots
Book Chapter
Whitbrook, A., Aickelin, U., & Garibaldi, J. M. An idiotypic immune network as a short-term learning architecture for mobile robots. In P. Bentley, D. Lee, & S. Jung (Eds.), Artificial immune systems: 7th international conference, ICARIS 2008, Phuket, Thailand, August 10-13, 2008: proceedings. Springer

A combined Short-Term Learning (STL) and Long-Term Learning (LTL) approach to solving mobile robot navigation problems is presented and tested in both real and simulated environments. The LTL consists of rapid simulations
that use a Genetic Algorith... Read More about An idiotypic immune network as a short-term learning architecture for mobile robots.

Genetic algorithm seeding of idiotypic networks for mobile-robot navigation
Presentation / Conference Contribution
Whitbrook, A., Aickelin, U., & Garibaldi, J. M. Genetic algorithm seeding of idiotypic networks for mobile-robot navigation.

Robot-control designers have begun to exploit the properties of the human immune system in order to
produce dynamic systems that can adapt to complex, varying, real-world tasks. Jerne’s idiotypic-network theory has proved the most popular artificial... Read More about Genetic algorithm seeding of idiotypic networks for mobile-robot navigation.

Investigating a Hybrid Metaheuristic For Job Shop Rescheduling
Presentation / Conference Contribution
Abdullah, S., Aickelin, U., Burke, E., Din, A., & Qu, R. Investigating a Hybrid Metaheuristic For Job Shop Rescheduling.

Previous research has shown that artificial immune systems can be used to produce robust schedules in a manufacturing environment. The main goal is to develop building blocks (antibodies) of partial schedules that can be used to construct backup solu... Read More about Investigating a Hybrid Metaheuristic For Job Shop Rescheduling.

Noise Reduction Technique for a Simulation Optimisation Study
Presentation / Conference Contribution
Adewunmi, A., & Aickelin, U. Noise Reduction Technique for a Simulation Optimisation Study.

This paper reports on an attempt to apply Genetic Algorithms to the problem of optimising a complex system, through discrete event simulation (Simulation Optimisation), with a view to reducing the noise associated with such a procedure. We are applyi... Read More about Noise Reduction Technique for a Simulation Optimisation Study.

Using intelligent agents to understand organisational behaviour
Presentation / Conference Contribution
Celia, H., Clegg, C., Robinson, M., Siebers, P.-O., Aickelin, U., & Sprigg, C. Using intelligent agents to understand organisational behaviour.

This paper introduces two ongoing research projects which seek to apply computer modelling techniques in order to simulate human behaviour within organisations. Previous research in other disciplines has suggested that complex social behaviours are g... Read More about Using intelligent agents to understand organisational behaviour.

Understanding the Impact of Management Practices and Other Factors on Productivity in the UK Retail Sector
Presentation / Conference Contribution
Celia, H., Clegg, C., Siebers, P., & Aickelin, U. Understanding the Impact of Management Practices and Other Factors on Productivity in the UK Retail Sector.

Insights into how management practices and other factors impact upon company productivity in the UK retail sector. Creating a sound base of applied knowledge and understanding to inform other components of our project.

An Agent-based Classification Model
Presentation / Conference Contribution
Gu, F., Aickelin, U., & Greensmith, J. An Agent-based Classification Model.

The major function of this model is to access the UCI Wisconsin Breast Cancer data-set[1] and classify the data items into two categories, which are normal
and anomalous. This kind of classification can be referred as anomaly detection, which discri... Read More about An Agent-based Classification Model.

Human Behavious Modelling for Discrete Event and Agent Based Simulation: A Case Study
Presentation / Conference Contribution
Majid, M., Aickelin, U., & Siebers, P. Human Behavious Modelling for Discrete Event and Agent Based Simulation: A Case Study.

This study is about the comparison of simulation techniques between Discrete Event Simulation (DES) and Agent Based Simulation (ABS). DES is one of the best-known types of simulation techniques in Operational Research. Recently, there has been an e... Read More about Human Behavious Modelling for Discrete Event and Agent Based Simulation: A Case Study.

The Application of a Dendric Cell Algorithm to a Robotic Classifier
Presentation / Conference Contribution
Oates, R., Greensmith, J., Aickelin, U., Garibaldi, J., & Kendall, G. The Application of a Dendric Cell Algorithm to a Robotic Classifier.

The dendritic cell algorithm is an immune-inspired technique for processing time-dependant data. Here we propose it as a possible solution for a robotic classification problem. The dendritic cell algorithm is implemented on a real robot and an invest... Read More about The Application of a Dendric Cell Algorithm to a Robotic Classifier.

A Multi-Agent Simulation of Retail Management Practices
Presentation / Conference Contribution
Siebers, P., Aickelin, U., Celia, H., & Clegg, C. A Multi-Agent Simulation of Retail Management Practices.

We apply Agent-Based Modeling and Simulation (ABMS) to investigate a set of problems in a retail context. Specifically, we are working to understand the relationship between human resource management practices and retail productivity. Despite the fac... Read More about A Multi-Agent Simulation of Retail Management Practices.

Using Intelligent Agents to Understand Management Practices and Retail Productivity
Presentation / Conference Contribution
Siebers, P., Aickelin, U., Celia, H., & Clegg, C. Using Intelligent Agents to Understand Management Practices and Retail Productivity.

Intelligent agents offer a new and exciting way of understanding the world of work. In this paper we apply agent-based modeling and simulation to investigate a set of problems in a retail context. Specifically, we are working to understand the relati... Read More about Using Intelligent Agents to Understand Management Practices and Retail Productivity.

Motif detection inspired by immune memory
Journal Article
Wilson, W., Birkin, P., & Aickelin, U. Motif detection inspired by immune memory. Lecture Notes in Artificial Intelligence, 4628, https://doi.org/10.1007/978-3-540-73922-7_24

The search for patterns or motifs in data represents an area of key interest to many researchers. In this paper we present the Motif Tracking Algorithm, a novel immune inspired pattern identification tool that is able to identify variable length unkn... Read More about Motif detection inspired by immune memory.