Distributed Artificial Intelligence

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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Horizon 2020 programme that helps 15 citizen science communities around Europe fight pollution

Error in the Euclidean Preference Model
Thorburn, L., Polukarov, M. & Ventre, C., 3 Jan 2023, (Accepted/In press) Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023). Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Explicit Payments for Obviously Strategyproof Mechanisms
Ferraioli, D. & Ventre, C., 3 Jan 2023, (Accepted/In press) Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023). Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Non-Obvious Manipulability for Single-Parameter Agents and Bilateral Trade
Archbold, T., De Keijzer, B. & Ventre, C., 3 Jan 2023, (Accepted/In press) Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023). Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
QROWD—A Platform for Integrating Citizens in Smart City Data Analytics
Ibáñez, L. D., Maddalena, E., Gomer, R., Simperl, E., Zeni, M., Bignotti, E., Chenu-Abente, R., Giunchiglia, F., Westphal, P., Stadler, C., Dziwis, G., Lehmann, J., Yumusak, S., Voigt, M., Sanguino, M. A., Villazán, J., Ruiz, R. & Pariente-Lobo, T., 2023, Studies in Computational Intelligence. Springer Science and Business Media Deutschland GmbH, p. 285-321 37 p. (Studies in Computational Intelligence; vol. 942). Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review. DOIs: https://doi.org/10.1007/978-3-031-08815-5_16
Collaborative Filtering to Capture AI User’s Preferences as Norms
Serramia Amoros, M., Criado, N. & Luck, M., 11 Nov 2022, PRIMA 2022: Principles and Practice of Multi-Agent Systems - 24th International Conference, Proceedings. Aydoğan, R., Criado, N., Sanchez-Anguix, V., Lang, J. & Serramia, M. (eds.). Cham, Germany: Springer, p. 669-678 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13753 LNAI). Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review. DOIs: https://doi.org/10.1007/978-3-031-21203-1_45
A Decade of Knowledge Graphs in Natural Language Processing: A Survey
Simperl, E., 27 Sep 2022, (Accepted/In press) 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing. 14 p. Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Reasoning and interaction for social artificial intelligence
Black, E., Brandão, M., Cocarascu, O., De Keijzer, B., Du, Y., Long, D., Luck, M., McBurney, P., Meroño-Peñuela, A., Miles, S., Modgil, S., Moreau, L., Polukarov, M., Rodrigues, O. & Ventre, C., 20 Sep 2022, In: AI COMMUNICATIONS. 35, 4, p. 309-325 17 p. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.3233/AIC-220133
Statistical and Neural Methods for Cross-lingual Entity Label Mapping in Knowledge Graphs
Amaral, G., Pinnis, M., Skadiņa, I., Rodrigues, O. & Simperl, E., 16 Sep 2022, (E-pub ahead of print) Text, Speech, and Dialogue - 25th International Conference, TSD 2022, Proceedings. Sojka, P., Horák, A., Kopeček, I. & Pala, K. (eds.). Springer Science and Business Media Deutschland GmbH, p. 39-51 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13502 LNAI). Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review. DOIs: https://doi.org/10.1007/978-3-031-16270-1_4
A Methodology for DSML-assisted Participatory Agent-Based Enterprise Modelling
Godfrey, T., Batra, R., Douthwaite, S., Edgeworth, J., Miles, S. & Zschaler, S., 14 Sep 2022, (Accepted/In press) Practice of Enterprise Modelling 2022. Springer Nature Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Accounting for Strategic Response in Limit Order Book Dynamics
Ji, Q. & Ventre, C., 14 Sep 2022, (Accepted/In press) Proceedings of the 24th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2022). Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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Group lead

Maria Polukarov

Senior Lecturer in Computer Science

Distributed Artificial Intelligence

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