Abstract. The UK Grand Challenges for Computing Research is an initiative to map out certain key areas that could be used to help drive research over the next 10-15 years. One of the identified Grand Challenges is Non-Classical Computation, which examines many of the fundamental assumptions of Computer Science, and asks what would result if they were systematically broken. In this discussion paper, we explain how the sub-discipline of Artificial Immune Systems sits squarely in the province of this particular Grand Challenge, and we identify certain key questions. The UK Computing Research Committee (UKCRC) is organising Grand Challenges for Computing Research, to discuss possibilities and opportunities for the advancement of computing science. It has asked the UK computing research community to identify ambitious, long-term research initiatives. The original call resulted in 109 submissions, which were discussed at a workshop in late 2002, and refined into a handful of composite proposals. (Further details, and how to get involved, can be found at [16] ). In this discussion paper, we explain how Artificial Immune Systems (AIS) sit squarely in the province of one of the resulting composite proposals: Journeys in NonClassical Computation. First we summarise the Challenge itself [16] , and then show where the sub-discipline of AIS falls within its remit, and the particular questions AIS raise and address. AIS provide excellent exemplars of non-classical computational paradigms, and provide a resource for studying emergence, necessary for a full science of complex adaptive systems. We hope this discussion paper will encourage the AIS community to position and exploit their research within the wider Non-Classical Computation arena.
In the UK Grand Challenge for Non-Classical Computation REF , it is mentioned as necessary for non-classical models such as quantum computation.
Artificial immune systems and the grand challenge for non-classical computation
Proceedings of the 2003 International Conference on Artificial Immune Systems, LNCS 2787
Computer Science