Steps Towards Satisficing Distributed Dynamic Team Trust
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Abstract (arXiv)
Defining and measuring trust in dynamic, multiagent teams is important in a range of contexts, particularly in defense and security domains. Team members should be trusted to work towards agreed goals and in accordance with shared values. In this paper, our concern is with the definition of goals and values such that it is possible to define 'trust' in a way that is interpretable, and hence usable, by both humans and robots. We argue that the outcome of team activity can be considered in terms of 'goal', 'individual/team values', and 'legal principles'. We question whether alignment is possible at the level of 'individual/team values', or only at the 'goal' and 'legal principles' levels. We argue for a set of metrics to define trust in human-robot teams that are interpretable by human or robot team members, and consider an experiment that could demonstrate the notion of 'satisficing trust' over the course of a simulated mission.
Key facts. Cited by 1 paper in the map (data through 13 Oct 2026). Builds on 5 of its 37 references that are in the map. First posted on arXiv 11 Sep 2023.
Builds on
5 of 37 references.
References · 5
- 2021The Challenge of Value Alignment: from Fairer Algorithms to AI Safetycited by 35
- 2019Partner Selection for the Emergence of Cooperation in Multi-Agent Systems Using Reinforcement Learningcited by 20
- 2021Cooperation and Reputation Dynamics with Reinforcement Learningcited by 12
- 2023Modeling Moral Choices in Social Dilemmas with Multi-Agent Reinforcement Learningcited by 10
- 2021When Would You Trust a Robot? A Study on Trust and Theory of Mind in Human-Robot Interactionscited by 5
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Citing papers per year: 2025: 1.
1 paper.