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. For many real-world planning problems however, it is difficult to obtain a transition model that governs state evolution with complex dynamics. Fortunately as visualised in Figure 1, recent works
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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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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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Potential Support Scholarship has been transformative in my academic journey. Throughout my studies, I have encountered challenges that have tested my resilience, such as navigating the complexities of remote
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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
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Conversational Tactile Map for Blind People. In SIGACCESS2019, pages 682–684, 2019. E. Fast et al.˙ Iris: A Conversational Agent for Complex Tasks. In CHI2018, pages 1–12. ACM, 2018. Y. Yang, K. Marriott, M