Research groups within AIAI
Artificial Intelligence Modelling Lab
The Artificial Intelligence Modelling Lab (AIML) engages in theoretical and applied research in Artificial Intelligence (AI) and Machine Learning (ML), spanning areas such as interactive theorem proving, formal verification, process modelling, and machine learning applied to healthcare and other complex domains.
The Lab carries out research in artificial intelligence, by blending ideas from machine learning, knowledge representation, automated planning and multi-agent systems.
Data-Intensive Research Group
Multidisciplinary teams need sustained frameworks encouraging collaboration to address today’s challenges. We engage with application communities to build platforms for their long-running campaigns, exploiting our architectures and data-streaming systems that bridge from conceptualised methods to data and computation to deliver optimisation, stability and innovation.
Human-Computer Learning Group
Research the design of collaborative, adaptive AI systems for reasoning about the human in the loop.
Mathematical Reasoning Group
The processes studied by the MRG have included theorem proving via proof methods, proof patching, analogy, symmetry, abstraction, diagrams and reflection; the learning of new proof methods, the formalisation of informally stated problems, the formation of concepts and conjectures and the interaction of automated systems with human users.
Planning and Activity Management Group
The group explores representations and reasoning mechanisms for planning and inter-agent collaboration between teams of people and computer systems. The group develops generic approaches by engaging in specific applied studies. Applications include crisis action planning, command and control, space systems, manufacturing, logistics, construction, procedural assistance, help desks, emergency response, etc.