Welcome to Social AI and Multi-Agent Systems Research at Bristol!

We are a team of researchers advancing foundational AI for the societal good, focusing on the development of ethical multi-agent systems. Our work encompasses intelligent agents and normative multi-agent systems, multi-agent reinforcement learning, and graph-based approaches, all while integrating normative principles to ensure that AI systems align with societal norms and values.

Our research seeks to facilitate interactions between computational agents and social entities, such as humans and organizations, with a strong emphasis on promoting prosocial behaviour and ensuring equitable outcomes.

We are based in the School of Computer Science at the University of Bristol. Our team is part of the federated Intelligent Systems Labs, which comprises several units focussing on AI, machine learning, and data science research. We are affiliated with the Collective Dynamics lab and the AI lab.

To learn more about our research and contributions, please explore our publications. If you are looking for a specific paper, tool, or dataset, feel free to reach out to Nirav Ajmeri.

Meet the Team

Nirav Ajmeri
Nirav Ajmeri

Senior Lecturer in AI

Interests: Multiagent Systems, AI, Ethics

Alex O. Davies
Alex O. Davies

PhD Student in Interactive AI

Interests: GNN, Graphs, Synthetic Data

Daniel Collins
Daniel Collins

PhD Student in Interactive AI

Interests: Responsibility, Multiagent Systems

Jessica Woodgate
Jessica Woodgate

PhD Student in Computer Science

Interests: Normative Ethics, Multiagent Systems

Joseph Trevorrow
Joseph Trevorrow

PhD Student in Interactive AI

Interests: Value-Alignment

Kal Roberts
Kal Roberts

PhD Student in Interactive AI

Interests: Reinforcement Learning

Vishal Joshi
Vishal Joshi

PhD Student in Interactive AI

Interests: Language-Based Agents, Table-Top Role Playing Games

Yining Yuan
Yining Yuan

PhD Student in Computer Science

Interests: Normative Systems