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-organise without a central controller to achieve this: group-level behaviour emerges from the actions of independent acting individuals, who only have limited, locally information on what is going on
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Primary supervisor Carlo Kopp Research area Data Science and Artificial Intelligence Agent-based computational simulations are now widely employed to study the evolution of behaviour, e.g., predator
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their behaviour, analyse the (potential) failures of the models (or the data used to train them), debug them, and possibly repair them. This has given rise to a growing interest in validating the
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their behaviour, analyse the (potential) failures of the models (or the data used to train them), debug them, and possibly repair them. This has given rise to a growing interest in validating the
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experiments with people and AI systems. Some students may develop new theory or algorithms; others may use existing methods to explain behaviour in a particular setting. In either case, the aim is to
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experiments with people and AI systems. Some students may develop new theory or algorithms; others may use existing methods to explain behaviour in a particular setting. In either case, the aim is to
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injection, poisoned data, privacy leakage, and unsafe autonomous AI-agent behaviour? This PhD investigates how next-generation healthcare AI systems can be protected before they are trusted in real
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injection, poisoned data, privacy leakage, and unsafe autonomous AI-agent behaviour? This PhD investigates how next-generation healthcare AI systems can be protected before they are trusted in real
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, likes, shared links, interaction patterns, writing style, visual content, and engagement behaviour. The PhD will investigate how large language models, recommender systems, advertising systems, and data
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, likes, shared links, interaction patterns, writing style, visual content, and engagement behaviour. The PhD will investigate how large language models, recommender systems, advertising systems, and data