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is pivotal in ensuring the reliability, scalability, and maintainability of our physical data centre environment, which supports both advanced research computing and critical enterprise services. You
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complexity), Vol. 42, No. 4 , pp270-283 Wallace, C.S. and D.L. Dowe (2000). MML clustering of multi-state, Poisson, von Mises circular and Gaussian distributions, Statistics and Computing, Vol. 10, No. 1, Jan
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encoded in computer software and can be used as decision support systems (DSS). These may be used by decision-makers with different domains of expertise than the analysts who built the DSS system. Therefore
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complexity), Vol. 42, No. 4 , pp270-283 Wallace, C.S. and D.L. Dowe (2000). MML clustering of multi-state, Poisson, von Mises circular and Gaussian distributions , Statistics and Computing, Vol. 10, No. 1, Jan
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, from swarm robotics to mesh networks. The prototypical model system for the investigation of self-organised task allocation are social insect colonies, such as bees and ants. They are able to distribute
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distributions, Statistics and Computing, Vol. 10, No. 1, Jan. 2000, pp73-83
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at one time. In non-stationary environments on the other hand, the same algorithms cannot be applied as the underlying data distributions change constantly and the same models are not valid. Hence, we need