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.

The secret life of the immune system: inspiring pervasive systems (2009)
Newspaper / Magazine
Hart, E. (2009). The secret life of the immune system: inspiring pervasive systems

The immune system performs more than simply defence and exploiting its additional functionality can lead to the design of better pervasive adaptive systems.

Dendritic cell trafficking: from Immunology to Engineering. (2009)
Presentation / Conference Contribution
Hart, E., & Davoudani, D. (2009, August). Dendritic cell trafficking: from Immunology to Engineering. Presented at 8th International Conference, ICARIS 2009, York, UK

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. (2010). Structure versus function: a topological perspective on immune networks. Natural Computing, 9(3), 603-624. 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(2), 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)
Presentation / Conference Contribution
Davoudani, D., Hart, E., & Paechter, B. (2008, June). Computing the State of Specknets: an immune-inspired approach. Presented at International Symposium on Performance Evaluation of Computer and Telecommunication Systems, 2008. SPECTS 2008

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..

Immuno-engineering (2008)
Presentation / Conference Contribution
Timmis, J., Hart, E., Hone, A., Neal, M., Robins, A., Stepney, S., & Tyrrell, A. (2008, September). Immuno-engineering. Presented at IFIP 20th World Computer Congress, Second IFIP TC 10 International Conference on Biologically-Inspired Collaborative Computing, Milano, Italy

In this position paper, we outline a vision for a new type of engineering: immuno-engineering, that can be used for the development of biologically grounded and theoretically understood Artificial Immune Systems (AIS). We argue that, like many bio-in... Read More about Immuno-engineering.

Boosting the Immune System (2008)
Presentation / Conference Contribution
McEwan, C., Hart, E., & Paechter, B. (2008, August). Boosting the Immune System. Presented at International Conference on Artificial Immune Systems ICARIS 2008

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. Although the balance is la... Read More about Boosting the Immune System.

Computing the State of Specknets: further analysis of an innate immune-inspired model. (2008)
Presentation / Conference Contribution
Davoudani, D., Hart, E., & Paechter, B. (2008, August). Computing the State of Specknets: further analysis of an innate immune-inspired model

Specknets consist of hundreds of miniature devices, which are each capable of processing data and communicating wirelessly across short distances. Such networks, with their great complexity, pose considerable challenges for engineers due to the unrel... Read More about Computing the State of Specknets: further analysis of an innate immune-inspired model..

An Immune-Inspired Approach to Speckled Computing (2007)
Presentation / Conference Contribution
Davoudani, D., Hart, E., & Paechter, B. (2007, August). An Immune-Inspired Approach to Speckled Computing. Presented at International Conference on Artificial Immune Systems ICARIS 2007, Beijing, China

Speckled Computing offers a radically new concept in information technology that has the potential to revolutionise the way we communicate and exchange information. Specks — minute, autonomous, semi-conductor grains that can sense and compute locally... Read More about An Immune-Inspired Approach to Speckled Computing.

Revisiting the Central and Peripheral Immune System (2007)
Presentation / Conference Contribution
McEwan, C., Hart, E., & Paechter, B. (2007, August). Revisiting the Central and Peripheral Immune System. Presented at ICARIS 2007: International Conference on Artificial Immune Systems, Santos, Brazil

The idiotypic network has a long and chequered history in both theoretical immunology and Artificial Immune Systems. In terms of the latter, the drive for engineering applications has led to a diluted interpretation of the immunological models. Resea... Read More about Revisiting the Central and Peripheral Immune System.

Genetic algorithms and timetabling (2003)
Book Chapter
Ross, P., Hart, E., & Corne, D. (2003). Genetic algorithms and timetabling. In A. Ghosh, & K. Tsutsui (Eds.), Advances in Evolutionary Optimisation. Springer. https://doi.org/10.1007/978-3-642-18965-4_30

Genetic algorithms can be used to search very large spaces, and it would seem natural to use them for tackling the nastier kinds of timetabling problem. We completed an EPSRC-funded project on this last year, and distribute a free package that handle... Read More about Genetic algorithms and timetabling.

Artificial immune systems: proceedings of the 2nd international conference. (2003)
Presentation / Conference Contribution
(2003, September). Artificial immune systems: proceedings of the 2nd international conference. Presented at Second International Conference on Artificial Immune Systems, ICARIS 2003

This book constitutes the refereed proceedings of the Second International Conference on Artificial Immune Systems, ICARIS 2003, held in Edinburgh, UK in September 2003

Requirements for getting a robot to grow-up (2003)
Presentation / Conference Contribution
Ross, P., Hart, E., Lawson, A., Webb, A., Prem, E., Poelz, P., & Morgavi, G. (2003, September). Requirements for getting a robot to grow-up. Presented at 7th European Conference on Artificial Life, Dortmund, Germany

Much of current robot research is about learning tasks in which the task to be achieved is pre-specified, a suitable technology for the task is chosen and the learning process is then experimentally investigated. In this paper we discuss a different... Read More about Requirements for getting a robot to grow-up.

Hyper Heuristics: an emerging direction in modern search technology. (2003)
Book Chapter
Burke, E., Hart, E., Kendall, G., Newall, J., Ross, P., & Schulenburg, S. (2003). Hyper Heuristics: an emerging direction in modern search technology. In F. Glover, & G. A. Kochenberger (Eds.), Handbook of MetaHeuristics (457-474). Springer US. https://doi.org/10.1007/0-306-48056-5_16

Controlling a simulated Khepera with an XCS classifier system with memory. (2003)
Presentation / Conference Contribution
Webb, A., Hart, E., Ross, P., & Lawson, A. (2003, September). Controlling a simulated Khepera with an XCS classifier system with memory. Presented at 7th European Conference on Artificial Life, ECAL 2003: Advances in Artificial Life

Autonomous agents commonly suffer from perceptual aliasing in which differing situations are perceived as identical by the robots sensors, yet require different courses of action. One technique for addressing this problem is to use additional interna... Read More about Controlling a simulated Khepera with an XCS classifier system with memory..

A systematic investigation of GA performance on jobshop scheduling problems. (2003)
Presentation / Conference Contribution
Hart, E., & Ross, P. (2000, April). A systematic investigation of GA performance on jobshop scheduling problems. Presented at EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoRob, and EvoFlight, Edinburgh

Although there has been a wealth of work reported in the literature on the application of genetic algorithms (GAs) to jobshop scheduling problems, much of it contains some gross over-generalisations, i.e that the observed performance of a GA on a sma... Read More about A systematic investigation of GA performance on jobshop scheduling problems..

Exploiting the analogy between immunology and sparse distributed memory. (2002)
Presentation / Conference Contribution
Hart, E., & Ross, P. (2002, September). Exploiting the analogy between immunology and sparse distributed memory. Presented at ICARIS 2002

The relationship between immunological memory and a class of associative memories known as sparse distributed memories (SDM) is well known. This paper proposes a new model for clustering non-stationary data based on a combination of salient features... Read More about Exploiting the analogy between immunology and sparse distributed memory..

Combining choices of heuristics. (2002)
Book Chapter
Ross, P., & Hart, E. (2002). Combining choices of heuristics. In R. Sarker, M. Mohammadian, & X. Yao (Eds.), Evolutionary Optimization (229-252). Kluwer

Clustering Moving Data with a Modified Immune Algorithm (2001)
Presentation / Conference Contribution
Hart, E., & Ross, P. (2001, April). Clustering Moving Data with a Modified Immune Algorithm. Presented at Workshops on Applications of Evolutionary Computation EvoWorkshops 2001, Como, Italy

In this paper we present a prototype of a new model for performing clustering in large, non-static databases. Although many machine learning algorithms for data clustering have been proposed, none appear to specifically address the task of clustering... Read More about Clustering Moving Data with a Modified Immune Algorithm.