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Artificial immune systems (AIS) is a diverse and maturing area of research that bridges the disciplines of immunology and engineering. The scope of AIS ranges from modelling and simulation of the immune system through to immune-inspired algorithms and engineering solutions.
In recent years, algorithms inspired by theoretical immunology have been applied to a wide variety of domains, including computer security, fault tolerance, data-mining and optimisation. Increasingly, theoretical insight into aspects of artificial and real immune systems has been sought through mathematical and computational modelling and analysis.
The 9th International Conference on AIS (ICARIS) aims to build on the success of previous years to provide a forum for AIS researchers in academia and industry to present and discuss their latest advances. In addition to peer-reviewed papers, ICARIS will present a range of plenary lectures and tutorials to inspire and facilitate both the computer scientist and immunologist in their work.
To encourage dialogue with the theoretical and clinical immunology communities, ICARIS 2010 will again adopt an (optional) extended abstract submission for the immune modelling stream. Full papers are welcome, but extended versions of abstracts will not be required. All accepted abstracts will be published alongside full papers in the proceedings.
The conference programme will be partitioned into three streams:
This stream is for papers describing theoretical aspects of AIS, excluding theoretical immunology. This includes (but is not limited to) mathematical modelling of algorithms, convergence analysis, empirical investigation into algorithm performance and complexity analysis. To make sure the paper appeals to the widest possible audience, the mathematics should be clearly presented, and the paper should discuss the practical implications of any theoretical results.
This stream is for papers describing the application of AIS to computational and engineering problems. The problem domain should be clearly explained, detailing why it is challenging and why AIS are a suitable methodology to use. Experiments should be carefully explained, with the expectation that appropriate statistical analysis of results will be used to help draw conclusions. Where possible, the approach taken should be compared with alternative strategies.
This stream is for work detailing models and simulations of real and artificial immune systems. Authors are asked to be mindful of the inter-disciplinary nature of the forum when presenting their work. Extended abstracts or full papers are invited for submission. Both will undergo the same review process for quality and relevance.