Value-Aware Multiagent Systems
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Abstract (arXiv)
This paper introduces the concept of value awareness in AI, which goes beyond the traditional value-alignment problem. Our definition of value awareness presents us with a concise and simplified roadmap for engineering value-aware AI. The roadmap is structured around three core pillars: (1) learning and representing human values using formal semantics, (2) ensuring the value alignment of both individual agents and multiagent systems, and (3) providing value-based explainability on behaviour. The paper presents a selection of our ongoing work on some of these topics, along with applications to real-life domains.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 4 of its 21 references that are in the map. First posted on arXiv 14 Dec 2025.
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4 of 21 references.
References · 4
- 2021Value alignment: a formal approachcited by 18
- 2023A computational framework for human valuescited by 10
- 2024Can Poverty Be Reduced by Acting on Discrimination? An Agent-based Model for Policy Makingcited by 4
- 2024Modelling Human Values for Value-Aware Multi-Agent Systemscited by 2
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