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Analysing intelligence in complex systems
Led by Dr Soumya Banerjee, this project examines computing and intelligence in both natural (biological systems) and artificial (human-engineered systems), with the intention of translating insights from these systems into new algorithms for augmented intelligence.
The core theme in this research is Unconventional approaches to Artificial Intelligence”. Taking inspiration from research in classical AI, cognitive psychology, neuroscience, social sciences and humanities, it will develop explainable machine learning models with applications to real-world challenges, such as healthcare. It will also explore what lessons complex systems in nature, such as immune systems or ant colonies, can offer computer science, using these systems to inspire new techniques for explainable AI.
Using these insights, the project will investigate collaboration between humans, and between humans and machines, with the aim of achieving a form of augmented or collective intelligence.