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techniques such as Reinforcement Learning and Graph Theory. The goal is to curate a synthetic dataset that models the evolving structure and dynamics of illegal networks, taking into account factors like
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techniques such as Reinforcement Learning and Graph Theory. The goal is to curate a synthetic dataset that models the evolving structure and dynamics of illegal networks, taking into account factors like
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Primary supervisor Levin Kuhlmann Research area Machine Learning This project is similar in flavour to the Conscious AI project but rather than come from a Philosophical/Neuroscience/Math/Theory
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Primary supervisor Levin Kuhlmann Research area Machine Learning This project is similar in flavour to the Conscious AI project but rather than come from a Philosophical/Neuroscience/Math/Theory
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the benefit of science. The purpose of this project is to use game theory and computational models to desing institutions to do science better: these may include contests in grant-seeking, review
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the benefit of science. The purpose of this project is to use game theory and computational models to desing institutions to do science better: these may include contests in grant-seeking, review
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Theory.” Journal of The Royal Society Interface 10, no. 88 (November 6, 2013): 20130544. https://doi.org/10.1098/rsif.2013.0544. #sustainability Required knowledge Have an excellent academic track
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ability to learn? The precise question will be developed with the student. A project may combine evolutionary and behavioural game theory, multi-agent reinforcement learning, agent-based simulation, or
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ability to learn? The precise question will be developed with the student. A project may combine evolutionary and behavioural game theory, multi-agent reinforcement learning, agent-based simulation, or
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research is partly automated? Could new publishing or funding mechanisms produce better science? This project uses game theory and computational models to study science as a social system. The precise