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computational methods for modelling social dilemmas that can account for real-world complexity in agents’ behaviour. We will build on novel computational techniques to produce realistic enough models that can be
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Insects are vital components of natural and agricultural ecosystems that interact with plants in complex ways. Computer simulations can help us understand these interactions to improve crop
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for the sometimes complex systems of constraints they have produced. While this problem has been explored for the use of constraint-based tools in diagram editors , there is a need to create tools to better help
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The brain is a complex system and monitoring and imaging methods to observe critical neurophysiological variables underlying brain function are limited. This project works at the intersection
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The brain is a complex machine and brain function remains yet to be fully understood. This project works at the intersection of dynamical modelling, statistical signal processing, statistical
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This project will explore the use of Mixed-Reality (MR) headset technology to support people in performing maintenance tasks in complex environments, where the nature of the work involves close
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for helping humans meet this challenge are causal Bayesian networks, which can accurately model complex probabilistic systems. However, because people are notoriously deficient in probabilistic reasoning
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Message Length '', Springer (Link to the preface [and p vi , also here ]) Wallace, C.S. and D.L. Dowe (1999a). Minimum Message Length and Kolmogorov Complexity , Computer Journal (special issue on
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classification'', Computer Journal, Vol 11, No 2, August 1968, pp 185-194 Wallace, C.S. and D.L. Dowe (1999a). Minimum Message Length and Kolmogorov Complexity , Computer Journal (special issue on Kolmogorov
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modeling malaria incidence using complex categorical household data: The minimum message length (MML) method applied to Indonesian data", Computational Ecology and Software, 2012, 2(3):140-159 Wallace, C.S