Mu Lab
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About
The Mu Lab (Model Understanding / Multi-agent Reasoning / Modeling Uncertainty) is a research group led by Prof. Christian Muise at Queen's University. The lab conducts advanced research in artificial intelligence, focusing on areas such as AI planning (e.g., FOND planning, action model acquisition, translating business workflows to AI planning domains), multi-agent systems, and uncertainty modeling. Their projects include work on continuous authentication using typing gait recognition, life event detection in bank conversations, and medical image analysis for chemotherapy prediction. They also explore leveraging large language models to fix ill-defined models and incorrect plans. The lab actively publishes research papers and offers graduate positions.
Platform
Task
Features
• continuous authentication
• action model acquisition
• modeling uncertainty
• multi-agent reasoning
• model understanding
• llm for model and plan correction
• life event detection in conversations
• ai planning and control
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