The Distributed Artificial Intelligence group explores social and technological contexts of interacting intelligent entities, including multi-agent systems, agent-based simulation, crowd computing, semantic web, provenance, norms, incentives, knowledge graphs, trust and reputation.
The group marries artificial intelligence expertise with social, political and economic theories and data to pursue research that has strong technological and societal relevance and benefit. We take inspiration from tools and techniques in human societies for the engineering of effective decentralised technology and responsible AI, and develop computational models for analysing social, political and economic phenomena to improve the effectiveness and fairness of policy and practice and to build socio-technical systems that combine machine algorithms with human and social capabilities.
Group lead
Maria Polukarov
Senior Lecturer in Computer Science