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Modelling the Immune System
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Last Updated: 14th Oct 2009
News Announcement: Due to a significant technical problem (our ISP loosing all of our website, and seamingly unable to set up a linux system properly), all the information we have is now on this page.
DSTL competition winnder: Dstl sponsored a machine learning contest to find the best peforming classifer on chemical detction. The data was supplied by Dstl and the entrants ranged from immune-inspired systems, to fuzzy logic and neural networks. The winner was Nick Owen from the University of York and his receptor density algorithm, which can be found on-line in LNCS
Best Paper Award: The best paper for ICARIS 2009 was awarded to Efficient Algorithms for String-Based Negative Selection by Michael Elberfield and Johannes Textor.
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 immune inspired algorithms and engineering solutions in software and hardware, though to the understanding of immunology through modelling and simulation of immune system concepts.
In recent years, AIS algorithms inspired by concepts such as clonal selection, immune networks, negative selection and danger theory have been applied to a wide variety of applications. These include computer security, fault tolerance, data mining and optimisation to name a few. In addition, theoretical aspects of artificial and real immune systems have been the subject of mathematical and computational models including Markov chains, differential equations and agent-based simulations.
The 8th International Conference on AIS (ICARIS) aims to build on the success of previous years and provide a forum for all AIS researchers in academia and industry to present and discuss their latest results and advances. Student grants will be available to contribute towards travel costs. In addition to peer-reviewed papers, ICARIS will present a range of plenary lectures and tutorials to inspire and facilitate the AIS researcher in their work.
This year's ICARIS sees the addition of an extended abstract submission for the immune modelling stream. Full papers can be submitted to this stream, but it is not a requirement. Papers and extended abstracts will undergo the same review process for quality and relevance, and are especially encouraged from the theoretical and clinical immunology communities. All accepted abstracts will be published alongside full papers.
This year a rebuttal system will be in place to allow authors to respond directly to reviewers comments. This is designed to increase the quality of papers, and remove any misunderstandings that may happen as part of the review process.