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application of spatial microsimulation and agent-based models in relation to the Horizon Europe project MOBI-TWIN ( https://mobi-twin-project.eu ). ????-TWIN is a Horizon Europe project that investigates
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, ballistocardiography, and bio-radar) in combination with machine learning based algorithms for time series analysis into the whole OSA diagnosis and treatment pathway. During diagnosis unobtrusive sensors that can be
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investigate how machine-learning based algorithms can be used to personalize the user experience. The goal of this personalized user experience is to enable each individual user to discover their own
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, or mental health provision are expected to be higher or lower. The agent based modelling will form an innovation where we attempt to create business models and descriptions of best practices for social
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partners in the pilot regions. The results from the digital ethnographies will feed into spatial micro-simulation and agent-based-modelling, to be conducted at a later stage by other members of the team
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models used to generate outcomes. The integration of Knowledge Graphs (KGs) with AI agents will link the data and the actions taken by AI agents. Reinforcement Learning from Human Feedback (RLHF) will
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in HCAI in HumAIne is based on knowledge representations in the form of ontologies, knowledge graphs, and neuro-symbolic learning, offering sound grounding also for Large Language Model (LLM) outcomes