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.
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Professor Elena Simperl, Professor of Computer Science, has been appointed as chief scientific advisor to a new six year European Union data project, drawing on her recent work in linked data, dataset search and human data interaction.