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Length and Kolmogorov Complexity, Computer Journal (special issue on Kolmogorov complexity), Vol. 42, No. 4, pp270-283 Wallace, C.S. and P.R. Freeman (1987). Estimation and inference by compact coding. J
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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
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'', 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 Kolmogorov complexity), Vol. 42
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would develop new computational methods for modelling Groupthink that can account for real-world complexity in agents’ behaviour, and build realistic enough models that can fit past and present empirical
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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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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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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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solve complex task allocation problems: a broad spectrum of tasks, from nest building, hygiene, and brood care to foraging, exploration, and defence needs to be addressed simultaneously so that the colony