From Intelligent Agents to Trustworthy Human-Centred Multiagent Systems
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Abstract (arXiv)
The Agents, Interaction and Complexity research group at the University of Southampton has a long track record of research in multiagent systems (MAS). We have made substantial scientific contributions across learning in MAS, game-theoretic techniques for coordinating agent systems, and formal methods for representation and reasoning. We highlight key results achieved by the group and elaborate on recent work and open research challenges in developing trustworthy autonomous systems and deploying human-centred AI systems that aim to support societal good.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 20 of its 127 references that are in the map. First posted on arXiv 5 Oct 2022.
Builds on
20 of 127 references.
References · 20
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- 2018Blameworthiness in Strategic Gamescited by 9
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8 more
- 2015Pareto Optimal Matchings in Many-to-Many Markets with Tiescited by 2
- 2013Subjective Logic Operators in Trust Assessment: an Empirical Studycited by 1
- 2014Size versus truthfulness in the House Allocation problemcited by 1
- 2017Armstrong's Axioms and Navigation Strategiescited by 1
- 2017Solving Hard Stable Matching Problems Involving Groups of Similar Agentscited by 1
- 2019Duty to Warn in Strategic Gamescited by 1
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Built on by
Citing papers per year: 2023: 1; 2024: 0; 2025: 2; 2026: 1.
4 papers.
- 2025Multi-Agent Collaboration Mechanisms: A Survey of LLMscited by 431
- 2023Distributionally Robust Statistical Verification with Imprecise Neural Networkscited by 12
- 2025Simulating Human-Like Learning Dynamics with LLM-Empowered Agentscited by 3
- 2026Local-First Intelligence via Proactive SLM Collaborating with Feedback-Providing LLMcited by 2
- 2026Local-First Intelligence via Proactive SLM Collaborating with Feedback-Providing LLM20 Apr 2026
- 2025Simulating Human-Like Learning Dynamics with LLM-Empowered Agents7 Aug 2025
- 2025Multi-Agent Collaboration Mechanisms: A Survey of LLMs10 Jan 2025
- 2023Distributionally Robust Statistical Verification with Imprecise Neural Networks28 Aug 2023