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Research group

Agents, interaction and complexity

Computer code

The Agents, Interaction and Complexity group (AIC) undertakes world‐leading research into the science and engineering of complex systems where agency, human-machine teams and human-in-the-loop interaction are powerful drivers for cutting edge research.

About

We are investigating the theoretical underpinnings of safe, verifiable, and trustworthy autonomous systems and their use in addressing real-world challenges from smart cities to disaster response. Our research addresses models of safety, responsibility and optimisation for AI systems, reinforcement learning, game theory and negotiation, mechanism design, reasoning and learning under uncertainty, and ethical and responsible Artificial Intelligence.

Exciting research challenges around human-in-the-loop interaction include exploring how to build better human-in-the-loop AI systems which use Artificial Intelligence to support and augment human performance, both enhancing interaction experiences for humans and utilizing human expertise to enhance AI performance.

Our research includes:

  • human-system/robot interaction,
  • natural language processing,
  • machine listening,
  • human-agent collaboration
  • citizen centric AI.

How systems evolve, learn and adapt enable us to better understand complex networks of individual actors. Our research in this area spans evolutionary computation and evolutionary biology, complex economic systems and social networks, and complex multi-robot systems.

Research highlights

Using AI to turn fantasy football into reality

A Southampton PhD student has used artificial intelligence to remove the guesswork from building a dream football team, and it's poised to revolutionise the industry.

Projects and publications

Research projects

Our people

I am interested in the development of core AI technologies and Human-AI partnerships and their application to key sustainability challenges. This includes domains such as smart energy systems, Smart Cities, and disaster response.
Professor of Artificial Intelligence
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