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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